{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "373690ff-7e8d-4c8c-a522-07641a2ee5ac",
   "metadata": {},
   "source": [
    "# Numpy和Matplotlib经典练习"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d1212ae-798a-40e9-8eac-b1af00ce6a18",
   "metadata": {},
   "source": [
    "欢迎来到Numpy和Matplotlib经典练习案例！\n",
    "\n",
    "在本实验中，我们将学习Numpy和Matplotlib的常见用法，两者都分为十个模块，每个模块中都是同一方面的小问题，通过问题给出的任务、要求和示例输出，以及对应的答案，相信你能更好得掌握基础用法！\n",
    "\n",
    "你可以通过单击代码区域，然后使用键盘快捷键 Shift + Enter 来运行代码。或者在选择代码后使用 运行 按钮执行代码。像这样的 MarkDown 文本可以通过双击编辑，并使用这些相同的快捷键保存。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29bb846f-2643-4c82-ab1c-eddd8736ba42",
   "metadata": {},
   "source": [
    "### NumPy 1 数组创建与基本操作练习"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4396fee7-8c80-46b3-a79c-cff8b42c6e2a",
   "metadata": {},
   "source": [
    "#### 问题1.1：创建一维数组\n",
    "**任务**：使用NumPy创建一个从0到9（包含0和9）的一维数组。  \n",
    "**要求**：  \n",
    "- 使用NumPy的数组创建函数  \n",
    "- 打印输出创建的数组  \n",
    "**示例输出**：  \n",
    "```\n",
    "[0 1 2 3 4 5 6 7 8 9]\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0a7f3b07-6819-4c50-91fc-a904f8d8f49b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.1 0-9的一维数组:\n",
      " [0 1 2 3 4 5 6 7 8 9]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "# 创建一个从0到9的一维数组\n",
    "arr1 = np.arange(10)\n",
    "print(\"1.1 0-9的一维数组:\\n\", arr1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "53ce4107-78b6-43f6-aa00-533d23ea4208",
   "metadata": {},
   "source": [
    "#### 问题1.2：创建全1矩阵\n",
    "**任务**：创建一个3行3列的全1矩阵（所有元素值为1）。  \n",
    "**要求**：  \n",
    "- 使用NumPy的矩阵创建函数  \n",
    "- 指定矩阵形状为(3, 3)  \n",
    "- 打印输出矩阵  \n",
    "**示例输出**：  \n",
    "```\n",
    "[[1. 1. 1.]\n",
    " [1. 1. 1.]\n",
    " [1. 1. 1.]]\n",
    "```\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "701ece8a-61f8-47f0-948b-77e370b5c6b0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "1.2 3x3全1矩阵:\n",
      " [[1. 1. 1.]\n",
      " [1. 1. 1.]\n",
      " [1. 1. 1.]]\n"
     ]
    }
   ],
   "source": [
    "# 创建一个3x3的全1矩阵\n",
    "arr2 = np.ones((3, 3))\n",
    "print(\"\\n1.2 3x3全1矩阵:\\n\", arr2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "160bc7f7-4f8f-4e42-8dfe-ee2b6c3ddd53",
   "metadata": {},
   "source": [
    "#### 问题1.3：创建单位矩阵\n",
    "**任务**：创建一个5×5的单位矩阵（主对角线元素为1，其余为0）。  \n",
    "**要求**：  \n",
    "- 使用NumPy的单位矩阵专用函数  \n",
    "- 打印输出矩阵  \n",
    "**示例输出**：  \n",
    "```\n",
    "[[1. 0. 0. 0. 0.]\n",
    " [0. 1. 0. 0. 0.]\n",
    " [0. 0. 1. 0. 0.]\n",
    " [0. 0. 0. 1. 0.]\n",
    " [0. 0. 0. 0. 1.]]\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 307,
   "id": "b95b9cdd-2d84-46ac-b7c0-3af4aed43b0c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 创建一个5x5的单位矩阵\n",
    "arr3 = np.eye(5)\n",
    "print(\"\\n1.3 5x5单位矩阵:\\n\", arr3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6a6fbea-2382-4cfc-bdbd-4c12652c86bf",
   "metadata": {},
   "source": [
    "#### 问题1.4：创建逆序数组\n",
    "**任务**：创建一个包含10到49（包含10，不包含50）的一维数组，并将其逆序排列。  \n",
    "**要求**：  \n",
    "- 分两步完成：先创建原数组，再逆序  \n",
    "- 使用切片操作实现逆序  \n",
    "- 打印输出结果\n",
    "\n",
    "**示例输出**：  \n",
    "```\n",
    "[49 48 47 ... 12 11 10]\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 308,
   "id": "5e8a5afc-4d3e-4397-b802-feed7a5ef9ba",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 创建一个从10到49的数组，然后逆序排列\n",
    "arr4 = np.arange(10, 50)[::-1]\n",
    "print(\"\\n1.4 10-49逆序数组:\\n\", arr4)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5750ea35-4f4e-4f43-94d4-eed2e7749c40",
   "metadata": {},
   "source": [
    "### NumPy 2 数组索引与切片练习"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "71ee4167-d49f-4483-acfe-ca668af50b77",
   "metadata": {},
   "source": [
    "#### 问题2.1：提取指定位置元素\n",
    "**任务**：从一个10×10的二维数组中提取第2行第3列的元素。  \n",
    "**要求**\n",
    "1. 首先创建一个10×10的数组，元素值为0到99（按行填充）\n",
    "2. 使用正确的索引方式提取元素（注意Python从0开始计数）\n",
    "3. 打印提取的元素值\n",
    "\n",
    "**示例输出**：\n",
    "```\n",
    "第2行第3列元素: 12\n",
    "```\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 309,
   "id": "78091940-700d-42d2-8caa-3c19a15e92e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 创建一个10x10数组\n",
    "arr_10x10 = np.arange(100).reshape(10, 10)\n",
    "\n",
    "# 提取第2行第3列的元素\n",
    "element = arr_10x10[1, 2]\n",
    "print(\"\\n2.1 第2行第3列元素:\", element)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "004f5240-ecbd-46b4-874b-2431dc6f9ec4",
   "metadata": {},
   "source": [
    "#### 问题2.2：提取子数组\n",
    "**任务**：从10×10数组中提取前3行和后3列组成的子数组。  \n",
    "**要求**：\n",
    "1. 使用切片操作同时指定行和列范围\n",
    "2. 行范围：前3行（索引0-2）\n",
    "3. 列范围：最后3列（使用负数索引）\n",
    "4. 打印3×3的子数组\n",
    "\n",
    "**示例输出**：\n",
    "```\n",
    "前3行后3列:\n",
    "[[ 7  8  9]\n",
    " [17 18 19]\n",
    " [27 28 29]]\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 310,
   "id": "80bb7570-f623-4071-b679-ea3f31a9dc16",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 提取前3行和后3列\n",
    "sub_arr = arr_10x10[:3, -3:]\n",
    "print(\"\\n2.2 前3行后3列:\\n\", sub_arr)  \n",
    "  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ee4b481-ac30-4ff4-9d8f-46035bac35f6",
   "metadata": {},
   "source": [
    "# 对于问题2.2做出详细解释 \n",
    "\n",
    "## 1.数组结构说明\n",
    "我们创建一个10×10的NumPy数组，元素按行顺序填充0-99：\n",
    "```python\n",
    "import numpy as np\n",
    "arr = np.arange(100).reshape(10, 10)\n",
    "\n",
    "```\n",
    "\n",
    "## 2.提取逻辑分步解析\n",
    "\n",
    "### 2.1数组索引基础\n",
    "- 行/列索引从0开始计数\n",
    "- 10列数组中，最后三列的正索引是7,8,9，负索引是-3,-2,-1\n",
    "- 每行起始值 = 行索引 × 10\n",
    "\n",
    "**行切片**：`:3`\n",
    "1.表示从开始到第3行（不包含索引3）\n",
    "\n",
    "2.实际获取的是索引0、1、2三行  \n",
    "\n",
    "3.对应原始数组的第1、2、3行（注意Python从0开始计数）  \n",
    "\n",
    "**列切片**：`-3:`  \n",
    "\n",
    "1.`-3`表示倒数第3列  \n",
    "\n",
    "2.`:`表示直到最后  \n",
    "\n",
    "3.因此获取的是倒数第3、第2、第1列(共3列)  \n",
    "\n",
    "  \n",
    "### 2.2提取前3行最后3列\n",
    "使用切片操作：\n",
    "```python \n",
    "sub_arr = arr[:3, -3:]\n",
    "```\n",
    "\n",
    "#### 逐行计算过程：\n",
    "\n",
    "**第0行（起始值=0）**\n",
    "```\n",
    "完整行数据：[0,1,2,3,4,5,6,7,8,9]\n",
    "提取列索引：7(-3),8(-2),9(-1)\n",
    "对应值：7,8,9\n",
    "```\n",
    "\n",
    "**第1行（起始值=10）**\n",
    "```\n",
    "完整行数据：[10,11,12,13,14,15,16,17,18,19]\n",
    "计算逻辑：\n",
    "10（起始值） + 7 = 17\n",
    "10 + 8 = 18\n",
    "10 + 9 = 19\n",
    "提取值：17,18,19\n",
    "```\n",
    "\n",
    "**第2行（起始值=20）**\n",
    "```\n",
    "完整行数据：[20,21,22,23,24,25,26,27,28,29]\n",
    "计算逻辑：\n",
    "20 + 7 = 27\n",
    "20 + 8 = 28\n",
    "20 + 9 = 29\n",
    "提取值：27,28,29\n",
    "```\n",
    "\n",
    "### 3. 最终结果组合\n",
    "将三行的提取结果垂直堆叠：\n",
    "```\n",
    "[[ 7  8  9]\n",
    " [17 18 19]\n",
    " [27 28 29]]\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2bf8665d-bcb3-43eb-84e5-0b6215e729ff",
   "metadata": {},
   "source": [
    "#### 问题2.3：布尔索引筛选\n",
    "**任务**：提取数组中所有大于5的元素。  \n",
    "**要求**：\n",
    "1. 使用布尔条件直接索引数组\n",
    "2. 结果应为一维数组\n",
    "3. 打印所有满足条件的元素\n",
    "\n",
    "**示例输出**：\n",
    "```\n",
    "大于5的元素:\n",
    "[ 6  7  8 ... 97 98 99]\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 311,
   "id": "0f309fbc-28e7-4d08-af4e-caab38b3563f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 使用布尔索引提取大于5的元素\n",
    "bool_arr = arr_10x10[arr_10x10 > 5]\n",
    "print(\"\\n2.3 大于5的元素:\\n\", bool_arr)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cca136c7-3e1f-40be-89d6-50f259435233",
   "metadata": {},
   "source": [
    "### NumPy 3 数组维度操作练习 "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "611ea7a9-6791-469b-b5a1-59fce4e4aa03",
   "metadata": {},
   "source": [
    "#### 问题3.1：一维数组转二维数组\n",
    "**任务**：将一维数组转换为指定维度的二维数组。  \n",
    "**要求**：  \n",
    "1. 创建包含0到9的一维数组`arr1d`  \n",
    "2. 使用`reshape()`方法将其转换为2行5列的二维数组  \n",
    "3. 理解`reshape`操作不改变元素总数的原则  \n",
    "4. 打印转换后的二维数组  \n",
    "**示例输出**：  \n",
    "```\n",
    "3.1 一维转二维:\n",
    " [[0 1 2 3 4]\n",
    "  [5 6 7 8 9]]\n",
    "```  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 312,
   "id": "42117dc7-8b7d-4072-9c4f-6853fcb588f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 将一维数组转换为二维数组\n",
    "arr1d = np.arange(10)\n",
    "arr2d = arr1d.reshape(2, 5)\n",
    "print(\"\\n3.1 一维转二维:\\n\", arr2d)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17b9e204-4e2f-471f-afed-e62447c5d398",
   "metadata": {},
   "source": [
    "#### 问题3.2：数组堆叠操作  \n",
    "**任务**：对两个一维数组进行垂直堆叠和水平堆叠。  \n",
    "**要求**：  \n",
    "1. 给定数组`a = [1, 2, 3]`和`b = [4, 5, 6]`  \n",
    "2. 使用`np.vstack()`进行垂直堆叠（按行合并）  \n",
    "3. 使用`np.hstack()`进行水平堆叠（按列合并）  \n",
    "4. 分别打印两种堆叠结果  \n",
    "**示例输出**：  \n",
    "```\n",
    "3.2 垂直堆叠:\n",
    " [[1 2 3]\n",
    "  [4 5 6]]\n",
    "水平堆叠:\n",
    " [1 2 3 4 5 6]\n",
    "```  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a9d5d725-89d5-4be4-b63d-161119b93a90",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "3.2 垂直堆叠:\n",
      " [[1 2 3]\n",
      " [4 5 6]]\n",
      "水平堆叠:\n",
      " [1 2 3 4 5 6]\n"
     ]
    }
   ],
   "source": [
    "# 将两个数组水平堆叠和垂直堆叠\n",
    "a = np.array([1, 2, 3])\n",
    "b = np.array([4, 5, 6])\n",
    "print(\"\\n3.2 垂直堆叠:\\n\", np.vstack((a, b)))\n",
    "print(\"水平堆叠:\\n\", np.hstack((a, b)))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "791d64e1-da78-49e5-a2d8-ed73373b1256",
   "metadata": {},
   "source": [
    "#### 问题3.3：数组转置操作  \n",
    "**任务**：对二维数组进行转置，交换行列位置。  \n",
    "**要求**：  \n",
    "1. 创建3×3的二维数组（元素为0到8）  \n",
    "2. 使用`arr.T`或`np.transpose()`方法进行转置  \n",
    "3. 理解转置后矩阵的行列索引关系（原矩阵`arr[i,j]`变为`arr.T[j,i]`）  \n",
    "4. 打印转置后的矩阵  \n",
    "**示例输出**：  \n",
    "```\n",
    "3.3 转置矩阵:\n",
    " [[0 3 6]\n",
    "  [1 4 7]\n",
    "  [2 5 8]]\n",
    "```  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 314,
   "id": "6d6f7589-6958-4e80-9a3f-f13ca7f80088",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 对数组进行转置操作\n",
    "arr = np.arange(9).reshape(3, 3)\n",
    "print(\"\\n3.3 转置矩阵:\\n\", arr.T)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "78fe3699-9f46-4f4e-a2e2-15a1251e78c5",
   "metadata": {},
   "source": [
    "### NumPy 4 数组运算练习"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e21ac48-f573-4a91-a181-1bd65f3d9c68",
   "metadata": {},
   "source": [
    "#### 问题4.1：计算数组点积\n",
    "**任务**：计算两个一维数组的点积（内积）。  \n",
    "\n",
    "**要求**：\n",
    "1. 给定数组a = [1, 2, 3]和b = [4, 5, 6]\n",
    "2. 使用NumPy的点积函数计算\n",
    "3. 理解点积的数学含义：对应元素相乘后求和（1×4 + 2×5 + 3×6）\n",
    "4. 打印计算结果\n",
    "   \n",
    "**示例输出**：\n",
    "```\n",
    "点积结果: 32\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "9a5f3d75-0a32-44d9-9079-4744deb07514",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "4.1 点积结果: 32\n"
     ]
    }
   ],
   "source": [
    "a = np.array([1, 2, 3])\n",
    "b = np.array([4, 5, 6])\n",
    "\n",
    "# 计算两个数组的点积\n",
    "dot_product = np.dot(a, b)\n",
    "print(\"\\n4.1 点积结果:\", dot_product)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a275ecd-de51-470d-8079-78294486157e",
   "metadata": {},
   "source": [
    "#### 问题4.2：计算统计量\n",
    "**任务**：计算给定数组的均值、标准差和方差。  \n",
    "\n",
    "**要求**：\n",
    "1. 给定数组arr = [1, 2, 3, 4, 5]\n",
    "2. 分别计算：\n",
    "   - 平均值（所有元素的和除以元素数量）\n",
    "   - 标准差（数据离散程度的度量）\n",
    "   - 方差（标准差的平方）\n",
    "3. 使用NumPy内置函数直接计算\n",
    "4. 分行打印三个统计量\n",
    "   \n",
    "**示例输出**：\n",
    "```\n",
    "平均值: 3.0\n",
    "标准差: 1.4142135623730951\n",
    "方差: 2.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 316,
   "id": "50ef3d4a-7265-40a6-8b4a-7e26dd3317ef",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 计算数组的平均值、标准差和方差\n",
    "arr = np.array([1, 2, 3, 4, 5])\n",
    "print(\"\\n4.2 平均值:\", np.mean(arr))\n",
    "print(\"标准差:\", np.std(arr))\n",
    "print(\"方差:\", np.var(arr))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c21274c7-f264-4e40-b75e-938a9a651824",
   "metadata": {},
   "source": [
    "#### 问题4.3：数组归一化\n",
    "**任务**：对数组进行最小-最大归一化处理，将值缩放到[0, 1]区间。  \n",
    "\n",
    "**要求**：\n",
    "1. 使用公式：(x - min) / (max - min)\n",
    "2. 保留原始数组的相对大小关系\n",
    "3. 确保归一化后的数组最小值为0，最大值为1\n",
    "4. 打印归一化结果\n",
    "   \n",
    "**示例输出**：\n",
    "```\n",
    "归一化结果: [0.   0.25 0.5  0.75 1.  ]\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 317,
   "id": "5bc4e2ec-1630-4547-80b3-933b16a53562",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 对数组进行归一化处理\n",
    "normalized = (arr - np.min(arr)) / (np.max(arr) - np.min(arr))\n",
    "print(\"\\n4.3 归一化结果:\", normalized)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "536682af-7be9-40b9-866b-4d753893fad5",
   "metadata": {},
   "source": [
    "### NumPy 5 随机数生成与选择练习"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6998e527-04a2-42df-ab6f-49026b7120eb",
   "metadata": {},
   "source": [
    "#### 5.1：生成0-1区间随机数\n",
    "**任务**：使用NumPy生成指定数量的0到1之间的均匀分布随机数。  \n",
    "\n",
    "**要求**：\n",
    "1. 生成10个0（包含）到1（不包含）之间的随机浮点数\n",
    "2. 使用NumPy的`random.random()`函数实现\n",
    "3. 打印生成的随机数数组\n",
    "   \n",
    "**示例输出**：\n",
    "```\n",
    "5.1 0-1随机数:\n",
    " [0.12345678 0.23456789 0.34567891 0.45678912 0.56789123\n",
    "  0.67891234 0.78912345 0.89123456 0.91234567 0.9865432]\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 318,
   "id": "619294b0-6e4c-46d0-8cc9-3c32b133ef32",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 生成10个0到1之间的随机数\n",
    "rand1 = np.random.random(10)\n",
    "print(\"\\n5.1 0-1随机数:\\n\", rand1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e1638c2-4cac-4dbd-b3b3-b4a93322ba32",
   "metadata": {},
   "source": [
    "#### 问题5.2：生成正态分布随机数\n",
    "**任务**：使用NumPy生成符合标准正态分布的随机数。  \n",
    "\n",
    "**要求**：\n",
    "1. 生成10个均值为0、标准差为1的正态分布随机数\n",
    "2. 使用NumPy的`random.randn()`函数实现\n",
    "3. 理解正态分布的特征（对称性、集中性）\n",
    "4. 打印生成5随机数数组\n",
    "\n",
    "**示例输出**：\n",
    "```\n",
    "5.2 正态分布随机数:\n",
    " [-0.86427533 -0.34567891  0.12345678  0.56789123  1.23456789\n",
    "   0.45678912 -0.78912345 -0.23456789  0.78912345 0.98765432]\n",
    "```\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 319,
   "id": "d11279ca-5034-4f49-a8c4-c8b48845a42a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 生成10个符合正态分布的随机数\n",
    "rand2 = np.random.randn(10)\n",
    "print(\"\\n5.2 正态分布随机数:\\n\", rand2)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61f11d8e-1d68-42a6-8e0f-561098c13434",
   "metadata": {},
   "source": [
    "#### 问题5.3：随机选择不重复元素 \n",
    "**任务**：从给定数组中随机选择指定数量的不重复元素。  \n",
    "\n",
    "**要求**：\n",
    "1. 创建包含0到19的整数数组\n",
    "2. 从中随机选择5个不重复的元素\n",
    "3. 使用NumPy的`random.choice()`函数，设置`replace`为`False`表示不放回抽样\n",
    "4. 打印被选中的元素\n",
    "   \n",
    "**示例输出**：\n",
    "```\n",
    "5.3 随机选择5个不重复元素:\n",
    " [3 15 8 12 7]\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 320,
   "id": "831b4924-3712-4e9a-abd5-4a8096d6df03",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 从数组随机选择5个不重复元素\n",
    "arr = np.arange(20)\n",
    "rand_choice = np.random.choice(arr, 5, replace=False)\n",
    "print(\"\\n5.3 随机选择5个不重复元素:\\n\", rand_choice)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e40329ea-7dd4-4cf1-98e5-aa0a5dffcf0e",
   "metadata": {},
   "source": [
    "### NumPy 6 数学函数应用练习  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d33a7ac-21dc-4568-b486-729e147d1156",
   "metadata": {},
   "source": [
    "#### 问题6.1：计算正弦值  \n",
    "**任务**：对包含角度值的数组计算正弦函数值。  \n",
    "**要求**：  \n",
    "1. 给定数组`arr = [0, π/2, π]`（弧度制）  \n",
    "2. 使用`np.sin()`函数计算每个元素的正弦值  \n",
    "3. 理解正弦函数在特殊角度的取值（0、1、0）  \n",
    "4. 打印计算结果（保留适当小数位）  \n",
    "**示例输出**：  \n",
    "```\n",
    "6.1 正弦值:\n",
    " [0.         1.         1.2246468e-16]\n",
    "```  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e8271744-f1ce-4886-a096-9588659724f7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "6.1 正弦值:\n",
      " [0.0000000e+00 1.0000000e+00 1.2246468e-16]\n"
     ]
    }
   ],
   "source": [
    "arr = np.array([0, np.pi/2, np.pi])\n",
    "\n",
    "# 计算数组中每个元素的正弦值\n",
    "sin_arr = np.sin(arr)\n",
    "print(\"\\n6.1 正弦值:\\n\", sin_arr)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b17f264c-fbf5-4841-a2cc-0a03bd369b5d",
   "metadata": {},
   "source": [
    "#### 问题6.2：计算指数值  \n",
    "**任务**：对数组元素计算自然指数函数值（以e为底）。  \n",
    "**要求**：  \n",
    "1. 给定数组`arr = [0, π/2, π]`  \n",
    "2. 使用`np.exp()`函数计算e的各元素次方  \n",
    "3. 理解指数函数的增长特性（e^0=1，e^π≈23.14）  \n",
    "4. 打印指数值数组  \n",
    "**示例输出**：  \n",
    "```\n",
    "6.2 指数值:\n",
    " [1.         4.81047738 23.14069264]\n",
    "```  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 322,
   "id": "445ec3b6-b980-4a7d-a59b-1357418ec653",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 计算数组中每个元素的指数值\n",
    "exp_arr = np.exp(arr)\n",
    "print(\"\\n6.2 指数值:\\n\", exp_arr)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8336e8c-f54e-4a88-bcc8-4667cc13e529",
   "metadata": {},
   "source": [
    "#### 问题6.3：计算对数函数值  \n",
    "**任务**：对数组元素计算自然对数和以10为底的对数。  \n",
    "**要求**：  \n",
    "1. 给定数组`arr = [0, π/2, π]`，跳过0元素（避免对数计算错误）  \n",
    "2. 使用`np.log()`计算自然对数（ln），`np.log10()`计算常用对数（log₁₀）  \n",
    "3. 理解对数函数的数学意义（ln(e^x)=x，log₁₀(10^x)=x）  \n",
    "4. 分别打印自然对数和常用对数数组  \n",
    "**示例输出**：  \n",
    "```\n",
    "6.3 自然对数:\n",
    " [0.45158271 1.14472989]\n",
    "以10为底对数:\n",
    " [0.19611988 0.49714987]\n",
    "```  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 323,
   "id": "519ab823-7224-4970-ab1b-4ec8fd6112f0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 计算数组元素的自然对数和以10为底的对数\n",
    "log_arr = np.log(arr[1:])  # 避免log(0)\n",
    "log10_arr = np.log10(arr[1:])\n",
    "print(\"\\n6.3 自然对数:\\n\", log_arr)\n",
    "print(\"以10为底对数:\\n\", log10_arr)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14fb3254-4f46-4c5f-9f08-aee8de7a1e23",
   "metadata": {},
   "source": [
    "### NumPy 7 线性代数运算练习"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a531821f-5032-4b22-8a07-293788436411",
   "metadata": {},
   "source": [
    "#### 问题7.1：计算矩阵的行列式\n",
    "**任务**：计算给定2×2矩阵的行列式。  \n",
    "\n",
    "**要求**：\n",
    "1. 给定矩阵 `matrix = [[1, 2], [3, 4]]`\n",
    "2. 使用NumPy的`det()`函数计算行列式\n",
    "3. 理解行列式的数学意义（矩阵所代表的线性变换的缩放因子）\n",
    "4. 打印计算结果\n",
    "\n",
    "**示例输出**：\n",
    "```\n",
    "7.1 行列式: -2.0\n",
    "`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "a9c49de0-a474-4b58-803d-0eb937573be3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "7.1 行列式: -2.0000000000000004\n"
     ]
    }
   ],
   "source": [
    "from numpy.linalg import inv, det, solve\n",
    "\n",
    "matrix = np.array([[1, 2], [3, 4]])\n",
    "\n",
    "# 计算矩阵的行列式\n",
    "determinant = det(matrix)\n",
    "print(\"\\n7.1 行列式:\", determinant)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a3c5e4d8-c43e-486e-8f03-9cbbb4a14beb",
   "metadata": {},
   "source": [
    "#### 问题7.2：计算矩阵的逆矩阵\n",
    "**任务**：计算给定2×2矩阵的逆矩阵。  \n",
    "\n",
    "**要求**：\n",
    "1. 给定矩阵 `matrix = [[1, 2], [3, 4]]`\n",
    "2. 使用NumPy的`inv()`函数计算逆矩阵\n",
    "3. 理解逆矩阵的数学意义（原矩阵与逆矩阵相乘得到单位矩阵）\n",
    "4. 打印逆矩阵\n",
    "\n",
    "**示例输出**：\n",
    "```\n",
    "7.2 逆矩阵:\n",
    " [[-2.   1. ]\n",
    " [ 1.5 -0.5]]\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 325,
   "id": "aed66b43-f8f8-49cb-abdc-6a344991f73a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 计算矩阵的逆矩阵\n",
    "inverse = inv(matrix)\n",
    "print(\"\\n7.2 逆矩阵:\\n\", inverse)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "45a3db65-cea1-4cd8-a2ee-40c15c279449",
   "metadata": {},
   "source": [
    "#### 问题7.3：解线性方程组\n",
    "**任务**：求解线性方程组 `x + 2y = 5, 3x + 4y = 6`。  \n",
    "\n",
    "**要求**：\n",
    "1. 将方程组表示为矩阵形式 `Ax = b`，其中：\n",
    "   - `A = [[1, 2], [3, 4]]`\n",
    "   - `b = [5, 6]`\n",
    "2. 使用NumPy的`solve()`函数求解方程组\n",
    "3. 验证解满足原方程组（代入计算）\n",
    "4. 打印方程组的解 `[x, y]`\n",
    "\n",
    "**示例输出**：\n",
    "```\n",
    "7.3 方程组的解: [-4.   4.5]\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 326,
   "id": "ca2a673a-5ba4-4ffc-8fdc-83b5904afc12",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 解线性方程组\n",
    "# 方程组: x + 2y = 5, 3x + 4y = 6\n",
    "A = np.array([[1, 2], [3, 4]])\n",
    "b = np.array([5, 6])\n",
    "solution = solve(A, b)\n",
    "print(\"\\n7.3 方程组的解:\", solution)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f0c30fd8-bfde-48c0-a50f-437c4c0480dd",
   "metadata": {},
   "source": [
    "### NumPy 8 数组广播机制练习  \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d5c1e07a-6d24-4551-8d72-dcf08d57f0b5",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "#### 问题8.1：标量与数组的广播运算  \n",
    "**任务**：演示标量与数组的广播加法运算。  \n",
    "**要求**：  \n",
    "1. 给定一维数组 `a = [1, 2, 3]` 和标量 `b = 2`  \n",
    "2. 执行加法运算 `a + b`，观察广播效果（标量扩展为与数组同形状）  \n",
    "3. 理解广播规则：标量会自动扩展为数组维度，每个元素执行相同运算  \n",
    "4. 打印运算结果  \n",
    "**示例输出**：  \n",
    "```\n",
    "8.1 广播加法:\n",
    " [3 4 5]\n",
    "```  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 327,
   "id": "8b1def19-3b63-4283-9296-62ddf480f676",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 数组广播的基本示例\n",
    "a = np.array([1, 2, 3])\n",
    "b = 2\n",
    "print(\"\\n8.1 广播加法:\\n\", a + b)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a86fe587-51b8-4646-a471-9bb2c6ae6d32",
   "metadata": {},
   "source": [
    "#### 问题8.2：矩阵列均值归一化  \n",
    "**任务**：对矩阵的每一列减去该列的均值，实现列归一化。  \n",
    "**要求**：  \n",
    "1. 给定3×3矩阵 `matrix`  \n",
    "2. 使用 `axis=0` 计算每列均值 `col_means`  \n",
    "3. 执行 `matrix - col_means`，利用广播机制对每列元素批量处理  \n",
    "4. 验证结果：每列均值应为0  \n",
    "5. 打印归一化后的矩阵  \n",
    "**示例输出**：  \n",
    "```\n",
    "8.2 列归一化:\n",
    " [[-3. -3. -3.]\n",
    " [ 0.  0.  0.]\n",
    " [ 3.  3.  3.]]\n",
    "```  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 328,
   "id": "4c4f243e-7b0d-42a4-b454-4120eb78b4e8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 对数组的每一列减去该列的平均值\n",
    "matrix = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])\n",
    "col_means = matrix.mean(axis=0)\n",
    "normalized = matrix - col_means\n",
    "print(\"\\n8.2 列归一化:\\n\", normalized)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e6f5b9c2-ff7e-4457-9fc3-4a2ec915a0cd",
   "metadata": {},
   "source": [
    "#### 问题8.3：不同形状数组的广播相加  \n",
    "**任务**：演示不同维度数组的广播运算（2D列向量与1D数组相加）。  \n",
    "**要求**：  \n",
    "1. 给定数组 `a = [[1], [2], [3]]`（3×1矩阵）和 `b = [1, 2, 3]`（1D数组）  \n",
    "2. 执行加法运算 `a + b`，观察广播规则：  \n",
    "   - `a` 的形状为 (3,1)，`b` 的形状为 (3,)  \n",
    "   - 广播后按 (3,3) 维度执行元素相加  \n",
    "3. 打印运算结果矩阵  \n",
    "**示例输出**：  \n",
    "```\n",
    "8.3 不同形状相加:\n",
    " [[2 3 4]\n",
    " [3 4 5]\n",
    " [4 5 6]]\n",
    "```  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 329,
   "id": "55a13082-af2f-42b2-add4-0dfecc929219",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 实现两个不同形状数组的运算\n",
    "a = np.array([[1], [2], [3]])\n",
    "b = np.array([1, 2, 3])\n",
    "print(\"\\n8.3 不同形状相加:\\n\", a + b)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1777fbac-8e4d-41ea-ab66-f8326962d5f2",
   "metadata": {},
   "source": [
    "### NumPy 9 数组文件操作练习  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e4d51ca-b27c-40de-9b4e-8565dbb8b34f",
   "metadata": {},
   "source": [
    "#### 问题9.1：保存数组到文本文件  \n",
    "**任务**：将NumPy数组保存为文本文件（.txt格式）。  \n",
    "**要求**：  \n",
    "1. 创建2×5的二维数组 `arr = [[0,1,2,3,4], [5,6,7,8,9]]`  \n",
    "2. 使用`np.savetxt()`函数将数组保存为`array.txt`  \n",
    "3. 理解文本文件格式：元素以空格或指定分隔符存储，可读性强  \n",
    "4. 打印保存成功的提示信息  \n",
    "**示例输出**：  \n",
    "```\n",
    "9.1 数组已保存到array.txt\n",
    "```  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 330,
   "id": "916d2672-665e-4d89-8273-f0b39d2e9b3f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 创建示例数组\n",
    "arr = np.arange(10).reshape(2, 5)\n",
    "\n",
    "# 将数组保存到文本文件\n",
    "np.savetxt('array.txt', arr)\n",
    "print(\"\\n9.1 数组已保存到array.txt\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "af2fcfa0-96c5-4bbc-93e5-0561da8ad90a",
   "metadata": {},
   "source": [
    "#### 问题9.2：从文本文件加载数组  \n",
    "**任务**：从文本文件中读取并还原NumPy数组。  \n",
    "**要求**：  \n",
    "1. 使用`np.loadtxt()`函数加载已保存的`array.txt`  \n",
    "2. 验证加载的数组与原始数组完全一致  \n",
    "3. 理解文本文件加载的局限性：大数组加载效率较低  \n",
    "4. 打印加载后的数组  \n",
    "**示例输出**：  \n",
    "```\n",
    "9.2 从文件加载的数组:\n",
    " [[0. 1. 2. 3. 4.]\n",
    "  [5. 6. 7. 8. 9.]]\n",
    "```  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 331,
   "id": "32bc8487-5eb4-4e86-a236-5cc16ef659be",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 从文本文件加载数组\n",
    "loaded_arr = np.loadtxt('array.txt')\n",
    "print(\"\\n9.2 从文件加载的数组:\\n\", loaded_arr)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b27d70ed-264f-44f8-b77c-74389f6d710c",
   "metadata": {},
   "source": [
    "#### 问题9.3：二进制格式保存与加载数组  \n",
    "**任务**：使用二进制格式（.npy）保存和加载数组，对比文本格式。  \n",
    "**要求**：  \n",
    "1. 使用`np.save()`将数组保存为`array.npy`二进制文件  \n",
    "2. 使用`np.load()`加载二进制文件  \n",
    "3. 理解二进制格式优势：文件体积小、加载速度快、保留数据类型  \n",
    "4. 打印二进制加载的数组，验证与原始数组一致  \n",
    "**示例输出**：  \n",
    "```\n",
    "9.3 二进制加载的数组:\n",
    " [[0 1 2 3 4]\n",
    "  [5 6 7 8 9]]\n",
    "```  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 332,
   "id": "aa01e8fc-5bb9-4f2d-9a8e-8c0795d0ef53",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 使用二进制格式保存和加载数组\n",
    "np.save('array.npy', arr)\n",
    "loaded_binary = np.load('array.npy')\n",
    "print(\"\\n9.3 二进制加载的数组:\\n\", loaded_binary)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33a34415-bf76-4d1a-b68c-6757716be8c9",
   "metadata": {},
   "source": [
    "### NumPy 10 数组高级索引练习  \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "add3bf3c-58d5-4946-a440-7951cb6b8c18",
   "metadata": {},
   "source": [
    "#### 问题10.1：整数数组索引（花式索引）  \n",
    "**任务**：使用整数数组选取二维数组中的指定元素。  \n",
    "**要求**：  \n",
    "1. 创建3×4的二维数组 `arr`（元素0到11）  \n",
    "2. 定义行索引数组 `rows = [0, 1, 2]` 和列索引数组 `cols = [1, 2, 3]`  \n",
    "3. 使用 `arr[rows, cols]` 选取对应位置的元素  \n",
    "4. 理解整数索引的机制：按索引数组顺序获取元素  \n",
    "5. 打印选取结果  \n",
    "**示例输出**：  \n",
    "```\n",
    "10.1 整数数组索引:\n",
    " [1 6 11]\n",
    "```  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 333,
   "id": "f68150a9-018f-4f9f-ae98-41b4c7c37f0f",
   "metadata": {},
   "outputs": [],
   "source": [
    "arr = np.arange(12).reshape(3, 4)\n",
    "\n",
    "# 使用整数数组索引\n",
    "rows = np.array([0, 1, 2])\n",
    "cols = np.array([1, 2, 3])\n",
    "print(\"\\n10.1 整数数组索引:\\n\", arr[rows, cols])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "76e0682f-6faf-40ab-8c3c-cec13a441e05",
   "metadata": {},
   "source": [
    "#### 问题10.2：布尔数组索引  \n",
    "**任务**：使用布尔数组筛选数组中满足条件的元素。  \n",
    "**要求**：  \n",
    "1. 创建3×4的二维数组 `arr`  \n",
    "2. 生成布尔数组 `bool_idx = arr > 5`，标记大于5的元素  \n",
    "3. 使用 `arr[bool_idx]` 提取所有满足条件的元素  \n",
    "4. 理解布尔索引的高效性：无需循环即可批量筛选  \n",
    "5. 打印筛选后的一维数组  \n",
    "**示例输出**：  \n",
    "```\n",
    "10.2 布尔索引:\n",
    " [6 7 8 9 10 11]\n",
    "```  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 334,
   "id": "a3ffac7d-d191-4e8a-a68e-a58c28611171",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 使用布尔数组索引\n",
    "bool_idx = arr > 5\n",
    "print(\"\\n10.2 布尔索引:\\n\", arr[bool_idx])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "806d167d-668c-4c58-98a3-25753fe18e94",
   "metadata": {},
   "source": [
    "#### 问题10.3：组合索引操作  \n",
    "**任务**：结合切片索引和布尔索引，筛选特定区域的元素。  \n",
    "**要求**：  \n",
    "1. 对数组 `arr` 先取前两行（切片索引 `[:2]`）  \n",
    "2. 在切片结果中筛选大于5的元素（布尔索引 `>5`）  \n",
    "3. 理解索引顺序：先切片再布尔筛选，等价于 `arr[:2, arr[:2]>5]`  \n",
    "4. 打印组合索引的结果  \n",
    "**示例输出**：  \n",
    "```\n",
    "10.3 组合索引:\n",
    "前两行中大于5的元素: [6 7]\n",
    "```  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 335,
   "id": "01acb4d5-34f0-40a3-b42d-84c641694843",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 组合使用多种索引方式\n",
    "print(\"\\n10.3 组合索引:\")\n",
    "print(\"前两行中大于5的元素:\", arr[:2][arr[:2] > 5])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1de426eb-a0be-488d-8d93-c90504805723",
   "metadata": {},
   "source": [
    "### 中文字体配置，以防中文乱码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "516ef1df-768d-444e-a0b6-d226238c32a0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n",
      "Requirement already satisfied: matplotlib in c:\\users\\neo\\anaconda3\\lib\\site-packages (3.8.0)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in c:\\users\\neo\\anaconda3\\lib\\site-packages (from matplotlib) (1.2.0)\n",
      "Requirement already satisfied: cycler>=0.10 in c:\\users\\neo\\anaconda3\\lib\\site-packages (from matplotlib) (0.11.0)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in c:\\users\\neo\\anaconda3\\lib\\site-packages (from matplotlib) (4.25.0)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\neo\\anaconda3\\lib\\site-packages (from matplotlib) (1.4.4)\n",
      "Requirement already satisfied: numpy<2,>=1.21 in c:\\users\\neo\\anaconda3\\lib\\site-packages (from matplotlib) (1.26.2)\n",
      "Requirement already satisfied: packaging>=20.0 in c:\\users\\neo\\anaconda3\\lib\\site-packages (from matplotlib) (23.1)\n",
      "Requirement already satisfied: pillow>=6.2.0 in c:\\users\\neo\\anaconda3\\lib\\site-packages (from matplotlib) (11.0.0)\n",
      "Requirement already satisfied: pyparsing>=2.3.1 in c:\\users\\neo\\anaconda3\\lib\\site-packages (from matplotlib) (3.0.9)\n",
      "Requirement already satisfied: python-dateutil>=2.7 in c:\\users\\neo\\anaconda3\\lib\\site-packages (from matplotlib) (2.8.2)\n",
      "Requirement already satisfied: six>=1.5 in c:\\users\\neo\\anaconda3\\lib\\site-packages (from python-dateutil>=2.7->matplotlib) (1.16.0)\n"
     ]
    }
   ],
   "source": [
    "!pip install matplotlib\n",
    "#!cp \"C:\\Users\\neo\\Desktop\\人工智能基础new\\SimHei.ttf\" \"C:\\Users\\neo\\anaconda3\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\"\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import shutil\n",
    "import os\n",
    "\n",
    "# 源文件路径\n",
    "source_path = r\"xxxx\\python实践\\SimHei.ttf\"\n",
    "# 目标路径\n",
    "target_path = r\"C:\\Users\\xxxx\\anaconda3\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\SimHei.ttf\"\n",
    "\n",
    "# 复制文件\n",
    "shutil.copy2(source_path, target_path)\n",
    "# 全局字体配置（适用于所有图表）\n",
    "plt.rcParams.update({\n",
    "    'font.family': ['SimHei'],\n",
    "    'axes.unicode_minus': False  # 解决负号显示问题\n",
    "})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ece41668-2ab2-4266-bb18-d5ebb008793f",
   "metadata": {},
   "source": [
    "### Matplotlib 1 绘图基础练习  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3ed1b7d6-3d99-4766-b382-599cb579c172",
   "metadata": {},
   "source": [
    "\n",
    "#### 问题1.1：绘制正弦函数曲线  \n",
    "**任务**：使用 Matplotlib 绘制正弦函数 `y = sin(x)` 的曲线。  \n",
    "**要求**：  \n",
    "1. 生成 0 到 2π 之间的 100 个均匀分布的点作为 x 值  \n",
    "2. 绘制蓝色（`color='blue'`）、线宽为 2 的正弦曲线  \n",
    "3. 设置标题为\"正弦函数曲线\"，x 轴标签为\"x\"，y 轴标签为\"sin(x)\"  \n",
    "4. 添加网格线（虚线样式，透明度 0.7）  \n",
    "5. 调整图形大小为 8×5 英寸  \n",
    " - 使用 `label` 参数为每条曲线命名，配合 `plt.legend()` 显示图例"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8c402f6d-4eeb-4362-ab87-16ef02f02bd6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "# 设置全局字体大小\n",
    "plt.rcParams.update({'font.size': 12})\n",
    "\n",
    "# 绘制正弦函数曲线\n",
    "#使用NumPy的linspace函数生成一个包含100个等间距点的数组，范围从0到2π（0到360度），用于作为正弦函数的x坐标值。\n",
    "x = np.linspace(0, 2*np.pi, 100)\n",
    "#创建一个新的图形窗口，设置图形尺寸为8英寸（宽）× 5英寸（高），为后续绘图操作准备画布。\n",
    "plt.figure(figsize=(8, 5))\n",
    "#绘制正弦函数曲线：\n",
    "# x：横坐标数据\n",
    "# np.sin(x)：纵坐标数据（x的正弦值）\n",
    "# color='blue'：设置线条颜色为蓝色\n",
    "# linewidth=2：设置线条粗细为2磅\n",
    "plt.plot(x, np.sin(x), color='blue', linewidth=2)\n",
    "plt.title('正弦函数曲线', fontsize=14)\n",
    "plt.xlabel('x', fontsize=12)\n",
    "plt.ylabel('sin(x)', fontsize=12)\n",
    "#在图表中添加网格线：\n",
    "# True：启用网格显示\n",
    "# linestyle='--'：设置网格线样式为虚线\n",
    "# alpha=0.7：设置网格线透明度为0.7（70%不透明），使其半透明以避免过于突出\n",
    "plt.grid(True, linestyle='--', alpha=0.7)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0527244e-0020-4cc4-9327-e20dfb0be7ad",
   "metadata": {},
   "source": [
    "#### 问题1.2：绘制余弦函数曲线  \n",
    "**任务**：使用 Matplotlib 绘制余弦函数 `y = cos(x)` 的曲线。  \n",
    "**要求**：  \n",
    "1. 使用与问题1.1相同的 x 值  \n",
    "2. 绘制红色（`color='red'`）、线宽为 2 的余弦曲线  \n",
    "3. 设置标题为\"余弦函数曲线\"，x 轴标签为\"x\"，y 轴标签为\"cos(x)\"  \n",
    "4. 添加网格线（虚线样式，透明度 0.7）  \n",
    "5. 调整图形大小为 8×5 英寸  \n",
    "6. 显示图形  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 338,
   "id": "0723d1c6-df33-47da-8c8c-a6126c210663",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 绘制余弦函数曲线\n",
    "plt.figure(figsize=(8, 5))\n",
    "plt.plot(x, np.cos(x), color='red', linewidth=2)\n",
    "plt.title('余弦函数曲线', fontsize=14)\n",
    "plt.xlabel('x', fontsize=12)\n",
    "plt.ylabel('cos(x)', fontsize=12)\n",
    "plt.grid(True, linestyle='--', alpha=0.7)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4bfe7fb-6f65-45c1-b50e-3b5e7962714e",
   "metadata": {},
   "source": [
    "#### 问题1.3：在同一图中绘制正弦和余弦曲线  \n",
    "**任务**：在同一坐标系中绘制正弦和余弦函数，并添加图例进行区分。  \n",
    "**要求**：  \n",
    "1. 使用与问题1.1相同的 x 值  \n",
    "2. 分别绘制蓝色正弦曲线和红色余弦曲线，线宽均为 2  \n",
    "3. 为每条曲线添加标签（`label='正弦函数'` 和 `label='余弦函数'`）  \n",
    "4. 设置标题为\"正弦和余弦函数对比\"，x 轴标签为\"x\"，y 轴标签为\"函数值\"  \n",
    "5. 在右上角添加图例，字体大小为 12  \n",
    "6. 添加网格线（虚线样式，透明度 0.7）  \n",
    "7. 调整图形大小为 8×5 英寸  \n",
    "8. 显示图形  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "f4f7db6d-e7df-4e2e-98d8-c9db5e80fc69",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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VfOupU6fSqlUrFi5cyOjRo4s8XqFQeA/KQVYoFIqrNG7c2Cp19JYtW+jcuTPh4eG0atWKtm3bcuONN+Ln58fXX3/Nc889x5o1a66bqOLIkSNMmDCBRx99lBo1arBx40YaNWrExIkTGT16NB9++GGpbJw7dy5//PFHkd8/+eSTBeqaNWtWwEFetWoVq1atMm936dKF8PBwAH766SdCQkKoUaMGeXl53HzzzTzwwAM88cQTRV7X5KxnZGQQExPDrFmz6NmzJ6+88oo5A99jjz3G8ePHGT9+PKmpqXzyySeFnuujjz5Cr9fz0Ucf8fbbbxMfH09QUBDHjh2jU6dOPPzwwwD07NkTf39/Fi5cyB9//EHHjh0LTHPJT05OjnlEe+rUqXTr1g2tVkvLli3p1KkTsbGxDB8+XCX5UCgUFB3MUaFQKLwc03zSatWqUalSJZo3b46fnx+HDx9m6NChrF69mnr16nHp0iVmzJhRIKlHVlYWjz32GFWrVuWdd96x+m748OE8+uijpY5ssH79enJzczEajRgMBoQQCCEYN24cgHn7xIkTZGZmkpuby/bt20vUVlMIuMaNG5tjJw8fPpzw8HBmzZoFyDnXM2bMKHC8yUE+cuQIsbGxzJ49m6+++ooqVaqQmZlp3m/cuHFMmjSJVatWFZn5sFatWoSFhfHBBx/QvXt3wsPDqVGjBsuWLaN+/fr069cPkPOdX3zxRd588002bNjA888/f902xsTEkJ6ezscff8wff/xhbhPApEmT+P7778vsHP/555+MGjWqTMcqFArXQznICoVCUQSXLl1Cp9NZJbU4fvw49957L7Gxsdxxxx2AnLu7cOFCYmNjzfsZjUYee+wxdu7cyWeffVYgbrCfnx+ffvqpea7qmjVrzPOnNRoNa9asKdSmihUr4uvryw8//ECbNm04ceJEgX2ys7Pp3Lkzffr0wWAwlCgV86VLl8wOsokpU6bw119/sWrVKnPq6EOHDjF27FgOHz5sta8pTF2rVq3Yt28fw4cP5+jRo0ybNo25c+daJSsxpQV/4YUXirQnKSmJe+65h+3bt1O1alVatGjBhx9+yIABA6wWYT733HNkZWVRuXJls+NcGGvXrmXevHnMmDGDwYMH8/zzzzNx4kT++ecfQE4viY6OLlana4mPj6dnz57ccsstxSYAWbduHZ9//rnVDwaFQuGaKAdZoVAoiuDMmTOEh4ebR0d/+eUXOnTowPDhwxk8eDAGg4GUlBROnz5Nr169+PLLL83zmA0GA3Xr1uWtt97i9ttvv+51cnNz6dq1KwcOHDB/unbtahV/OT8LFizg/vvvJyMjwyoChImAgABmzZrFL7/8Qu/evcnKyiq2rWfPnjU7sZmZmTzxxBOsWLGCn376icqVK5ORkcHp06fp0KEDgYGBvPvuu1bH54/jbIokERgYSExMDBkZGcydO9dq/+HDh1835XL9+vX58MMPOX78OO+99x7//PMPderUYdq0abRt25bs7GxSUlJ44oknCAkJIS0tjSeeeKJQzX7//XcGDhzIQw89xP/+9z9ALtqrUqUKL7/8crHaXMu5c+e4ePEi3bp1Izo6mvj4eKZPn2614DH/VB0TS5cuZcCAAezZs6fU11QoFI5FzUFWKBRuz/z588nOzsbHxweDwcC///5r5ZAdPHiQ9PT0Ak6aXq8nNzcXrVbLa6+9BsikD+fOnUOv1/Pll19Sr149AN566y1GjRqFTqfjrbfeIiYmhsuXL5vPZcp899FHHzF27Fh8fX2tRpTBMv3hWqpUqUJERITVIsIuXbpw/vx5q/0uXbrE0KFD+eKLL7jjjjv46quvCA0NBSiQaKRfv3689957DBkyhO7du/P9998XiGxx/vx5DAYDP//8MxkZGdSrV48rV67QqFEjzpw5Q7Vq1bjppptITU01Z/Xz8fHBx8eHTz75hFmzZpmdXNP1ExISrJzUdevWUadOHfN9uJbrpdM+ePAgc+bMYdmyZYwaNYqZM2dy5MgRtm/fzrp16xg2bBgBAQH89ddffP3117z++uukpKTw0UcfUatWLQA+//xznnrqKdq3b2+VQCQ4OJgPPviARo0aFbhuXl4e6enphS4iTEtL4++//yYrK4sDBw7wzjvvMGTIELMOBoMBX19fvvnmG2688UbzOc6dO8d3331Hw4YNr7uQUKFQuAhOi8CsUCgUNqJx48YiODjYnLihpJ+qVauKoKAgUa1aNfO58vLyRK1atQQgNBqN+OCDD4QQQmzYsEF06dJFjB07Vnz88cfi119/FQcOHBApKSlCr9cLIYRo2bKlaNiwYZF2vvDCC+LGG28sczufeeYZAYinn35a5ObmCiGEOHbsmBg4cKCoVauWqFChQoFjXn75ZVG9enWxe/fuAt8tXLjQnNSicePG5qQp/fr1E08++aSYM2eO+O6770RcXJw4efKkuHLlihBCiG+++UYA4tNPPzWfa8WKFddNWnK9zy233GJl19dffy1at24tAHHnnXeKP//80/xdSkqK6NSpkwBEv379xIULF8zfzZw5U/j4+Ih69eqJ1NRUIYQQP/30k7jvvvvMtl+P48ePiw4dOoiIiAgBiMmTJxe635w5c0RMTEyBJDMmxo8fL3x9fQu0s2bNmmLz5s3F2qFQKJyPRohChjMUCoXCi/n000/JycmhS5cu5hHkkhAXF0fNmjWJjIws9PshQ4awceNGq8QkpSE3N5effvqJ3r17m+uEEERGRpKdnc1LL71ETExMgWPOnTtHVFRUgfOdO3eOJUuW0KFDB+64444SL1DLyclhy5YtdO3a1Tw3uaz07duX48ePWy1wzMjI4I033mDgwIG0bNmywDGfffYZNWrU4M477yzw3V9//UVgYCAtWrQokz09e/bEYDBw77338txzz5V50Z7BYLCa2qLRaGwWY1mhUNgf5SArFAqFm5OamkpISIizzVAoFAqPQTnICoVCoVAoFApFPlQUC4VCoVAoFAqFIh/KQVYoFAqFQqFQKPKhHGSFQqFQKBQKhSIfykFWKBQKhUKhUCjyoRKF2Aij0UhSUhJBQUHmrFsKhUKhUCgUCtdBCMHly5epVatWocmATCgH2UYkJSUVGmdUoVAoFAqFQuFanDx5ssiY9aAcZJthSuF68uRJKleubPfr6fV6du3aRevWrfHxUbfRXiid7Y/S2DEonR2D0tkxKJ3tj6dqnJ6eTlRUlNlvKwrPabGTMU2rqFy5skMcZIPBQK1atQgODi53JitF0Sid7Y/S2DEonR2D0tkxKJ3tj6drXNx0WJUoxEakp6cTHBxMWlqaQxxkhUKhUCgUCkXpKKm/pqJYuClGo5FTp05hNBqdbYpHo3S2P0pjx6B0dgxKZ8egdLY/3q6xcpDdFG/vuI5C6Wx/lMaOQensGJTOjkHpbH+8XWPlICsUCoVCoVAoFPlQi/QUCoVCoVB4LAaDgby8PGeb4Xbo9XoAsrOz3SKKhY+PDzqdzma5KFy/xYpC0Wq1hIWFXTfItaL8KJ3tj9LYMSidHYPS2TGURGchBGfPniU1NdVxhnkQQggqVKjAiRMn3CYBmk6nIzw8nODg4HLbrKJY2AgVxUKhUCgUCtfhzJkzpKamEh4eToUKFdzGyVOUHiEEer2e9PR00tPTCQkJoWbNmoXuW1J/TY0guylGo5HExETq1q2rRirsiNLZ/iiNHYPS2TEonR1DcTobDAazcxwaGuoEC90fIQQ5OTn4+/u7zY+LoKAg/P39SU5OJjw8vFzxm9X/XjfFaDRy4cIFr11d6iiUzvZHaewYlM6OQensGIrT2TTnuEKFCo40y+MwzUN2JypWrIgQotzzzt3KQf7555+pX79+qY87e/Ys/fr1Izg4mObNm7Nly5YC+8TGxhIVFUV4eDgxMTHq4aZQKBQKhZvjLiOfCtvhdYv0Dh48yCOPPELFihVLdZzBYKBHjx5cuHCBZcuWkZiYSM+ePdm7dy9169YFYO7cubz66qtMnDiRdu3aMWLECCpVqsSYMWPs0RSFQqFQKBQKhQvjFg7yjh07uPfee6lfvz7nz58v1bFfffUVO3fu5K+//qJ9+/YA7Nmzh9jYWBYsWEBubi6TJ09m6NChTJw4EZCvZO6//35eeeUVlw1totVqiYyMVHPc7IzS2f4ojR2D0tkxKJ0dg9LZMfj5+TnbBKfhFj3rt99+46233uKFF14o9bEbN26kQYMGZucYoG/fvmzcuBGA+Ph4UlNTefTRR83fd+nSBYC4uLhyWm4nLl1C+/ffRGZloU1JgdxcZ1vksbj7Q1gIyMmBtDQ4dw6OH4eEBLh8WX7nCri7xu6C0tkxKJ0dg9LZfuj1ev766y9yc3Px8/MrdMqCEIKMjIyyz/MVAgwGyM1l9/bt7Ni8ucAuBw8eLNu5bYRrDo9ew8iRI9FqtSxbtqzUxyYlJdGiRQurutq1a5OQkIDBYCApKQmgwD5RUVEcOXKEm2++udDz5uTkkJOTY95OT08HZMcyTWrXarVotVqMRqPVnGZTvcFgIH+UvaLqTYGvTefV/Porun79rOwRFSpASIj81KsHLVtibN4c0bKl3NZq8fHxQQiBwWAwH6fRaNDpdAVsLKreXm3KXw9Y2Xi9enu3SQjBwYMHadiwoflB7Gptys3VceCAkYMHBYcOwaFDGg4f1nDkiIYrVyiSChUENWpA9epQowbUrauhbVsj7dsbqVMHNBrHtCkvL4/Dhw+bNVZ9zz5tMhqNHDlyhIYNG+Lr6+sRbSpJvaPbZDQaOXr0KDfeeCOAR7TpevXOahPAoUOHaNCgQYFns9FoRK/XI4QwfzQajZXd+c9VmvrSYKtrFlaflZVFQEBAoc7rtfvn5eWRl5dHxYoVOXfuHCdOnLCKTBEREUGVKlXM+x87doybb76ZH374gc6dO1vtazq3KUpESXln8mT+99BDkJcHBgM//fYbi1av5qtZs1g8ezaply+z8vbb6XjzzcyePZtbb72VNm3aMHPmTP73v/+VShvTdn5/DCx9r6QLD93CQS7PL8SsrCxq1KhhVRcYGIheryc1NZWsrCx0Oh1BQUEF9rlw4UKR550+fTqTJ08uUL9r1y7zPOmwsDDq169PYmKi1bkiIyOJjIzk8OHDpKWlmevr1atHeHg4+/btIysry1zfuHFjQkJC2LVrFwaDgWq7dtHgmutqMjMhMxOSkuDff+H77zEFNzFUqEBmw4YEPfAAl7t04V8fH+n9XG1ny5YtSU5OJiEhwXy+4OBgmjRpQlJSEqdOnTLX26tNJlq0aIGfnx/x8fFW7WvXrh25ubns3bvXXKfT6YiOjiYtLc3ql6Yt21SjRg3OnDlDenq6+QHh7DYdO5bAsWMV2L49mL//rsbOnRXJzS39/5HMTA0JCXJE2YIW0FKlSi7Nml2hc+dAevUKBHZhNNqvTSdOnDBrrPqefdokhCA1NZX09HSio6M9ok2ueJ+EEOTm5tKoUSP279/vEW0C17tPDRs25Ny5c6SlpZmfzde2KSAggMzMTHQ6HX5+fmRnZ1vZ6O/vj6+vL1lZWVYOeEBAAD4+PmRmZlo5X4GBgWi1WjIyMqzaVLFiRYxGo5UuGo2GihUrYjAYyM7ONtdrtVoqVKiAXq+3GmTT6XQEBgaSl5dHbr63wj4+PgQEBJCTk2Pl2LVs2dJKk+K48cYbOXjwIGvXrmXs2LFm5/rUqVMsW7aM7t27o9Vq8fPzIyIigp49e5Kenk5ubi45OTnm0eSQkBAMBgN+fn7s3bsXf39/fHx8qFChAnm5uejT0vC5coUTx44xYd48Nu/cyYBu3bivRQs0+UZsOrdpw6QlS4j95BP8fH3x8/Vl7Zo1JCUl0bJlS3bu3ElWVhZdu3ZFr9eX6j6ZnOZ9+/ZZaWDqe7t27SqRZm6VKGTZsmVMmjSJ//77r8TH3HfffURFRfHee++Z644ePUrDhg05efIk27ZtY/DgwVYdGKBTp050796d8ePHF3rewkaQo6KiSElJMQeettsv9G3b0KxcycWEBEJ9fNCkpsp36KmpkJKC5pq2XIuoUwfRsyeid2+4/XZ0AQFeM+pQ2jYZjUbi4uJo06aN2QZntMlg0LBhg46vvhJs2ABnzlx/la5OJ6hbV0NoqMDfH/z9BQEBEBCgQaPRcP684Nw5OHsWLl0qfsXvDTcIHnxQ0L+/kdatwcfHdvcpNzeXv//+26yx6nv2aZPBYGDnzp20adPGPK/Q3dtUknpHt8mkc3R0dIHRLXdt0/XqndUmIUSRz2aj0UhmZiYnTpygbt26ZmfQk0aQT5w4ga+vb4ER5JtuuokJEybw0EMPmetMb5Bq165d4DxhYWG8//77vPfee2zfvh1fX1+ys7PNA32mH3xZWVksXryYJ554wvocej2kp6NJTUWkpfHvkSPMXbmS5T/+yL233MKbL7xA03r1zLsLnQ50Or7dvJmEpCTCqlXjy3XruJKZSY/77+e/Eyfo2bMnhw4d4v333+eff/4xa5CVlYWvr69VbOPCtMnOzua///4jKiqKgIAAc73puEuXLhEaGqoShYSHh5unUZi4ePEiIH/1hYeHk5OTQ0pKilUw8YsXL143Yoa/vz/+/v4F6n18fAos7DP9p72WogJYF1VvPu/tt6O/5RaOxcdTpV076+sJAf/9B7t3w5498rN7t6y7iub4cTQLFsCCBVC1KgwZgvaFF9DWqVPgmkXZbvM2laNeo9EUWl9a2wurNxqN5of0tddwRJtOnIAPP5Sf06cBCjqzderA7bdD06Zw443QuDHUr69B+kCm/a89zrKdkyPnJ+/bB3/9Zfnkz876338aYmM1xMZqadAAHnoIhgyBunVtc58K09jb+x7Yvk0mnU1/VD2hTSWpd3SbTPp6UpuKq3d0m/R6fZHPZq1WTinUaDTmj+n8hVHa+tJgq2teW1+nkL/Xpv2Cg4OLzCJX2Pl1Oh0//fQTIKdjREREMHfuXB5++GEyMjKoWLGi1XEagIwMOHeOffHx1KpWjarBwWiAjk89RYsGDfhl0SJu7dgRvZ8fBAVBhQoQGIjm6vSuVdOmcf78eU6cOEFCQgK1atXCb9MmDAYDWq2Wo0ePsn///gL3fevWrXTq1Om6bcr/fCusP5U4+IJwI5YuXSrq1KlTqmMWLVokwsLCRF5enrlu4cKFIjAwUBiNRpGamir8/PzEmjVrzN+np6cLnU4nVq1aVeLrpKWlCUCkpaWVyr6yYjAYxLlz54TBYCjZASdPCrFggRB33y2Er68Q0pW2fLRaIR54QIjNm4UwGu1rvBtRap1tgF4vxJo1QvToIW/LtbeqQgUh7rtPiHnzhDh40D63y2CQ537/fSHuuUcIna7wLvPww0LEx5f3Wo7X2BtROjsGpbNjKE7nrKws8e+//4qsrCwHW+ZcQkNDxdKlS4v8Xq/XC8Dq8/XXX5u///zzz0XDhg1FRkaGMBqNIicnRxhNf2QMBiEuXBBi/34h4uKEiIsTD3btKprWrSuS1q0TYudOEVGjhli7cqUQer1YtGiR6N69e5H3aP/+/SI8PFw0atRIPPzww2LEiBEiPT1dXLhwQfj4+Ig1a9aIy5cvi6NHjwpA/PvvvyInJ6dYDYq79yX11zx++ecDDzxASkoKH330EQC5ubksXryYrl27mn9pdevWjdjYWPOrnQULFiCE4M4773Sm6ddFq9USHh5e8vnZkZHwwguwfj1cuACrVslhwKu/5jAa4euvoXNnaNUKli+XK0y9nFLrXA6EgK++ghYtoE8f+OEHeVukHdC7N6xdCykp8rvhw+WIsT3i4Gu18txDhsBPP8mpGO+9B127yu9A2vb559CuHdx1l+xaZXkj6UiNvRmls2NQOjuG8ujcrp38k+gKn3btyq7BG2+8QfPmzYvdT6/Xm6NNmKaGnjhxgsuXL3P58mV69+4NyDemU6dOZdGiRVSoUAGNRsPgwYOZP2+efIW5d698G52ZyYszZ/LzX3+xfOpU6tSpQ+dhw8hp0gQff3+oVIkZs2czbNgwbr31VrZt28Zjjz1mnsoqhODTTz+lU6dOvP7669x7771otVrOnDlDr169+Oijj8yLLCtVqmRen1K/fn3Hhp0r1hV3IQobQU5OThZxcXFCr9cXedzo0aOFr6+veOihh0TLli2Fj4+PiIuLM38fHx8vAgICRLt27UT//v2FRqMRI0aMKJVtjh5B1uv1Yvfu3ddtd4k4c0aIyZOFqFGj4BBh8+ZC/PSTbQx2U2ym83UwGoX48Uch2rQpeAtq1xZiyhQhTp2y2+VLzdmzQkydKkR4eEF7W7YUYv360p3PERorlM6OQunsGIrT+XqjiBERBZ9dzvpERJRdg5iYGFG7dm2rutDQ0AIjxIAYN26cEEL6TIDIzs4ucL53331XPPDAA+btg//+K3x9fcUn06aZR4xNn6gaNcT7c+YIYTCIjIwMsWTJEiGEEHXq1BFr164VI0aMEBs2bBBCCLF+/XoBiNzcXCGEEKdPnxa33367+Oabb0Rqaqp4/fXXRWxsrMjMzBTvvvuuiIiIECEhIWLSpElCCCG+//57ERkZWWJdbDWC7PZzkNeuXcuTTz7JpUuXCAkJKXSfWbNm0ahRIz744APCwsLYsmUL7fL9bGvbti07duwgJiaGhIQEZs6cyciRIx3UgrIhhCArK6vciwioUQMmTIDXXoPVq+Gdd+QEVIB//oHu3aFbN5g1S44sexk207kIfvsNxo6FP/6wrr/lFhg3Du65B4qY8uc0qleXto0cKV80xMbC0aPyuz17pM29e8Nbb0GDa8OtFIK9NVZIlM6OQensGMqj8zWBrZxKeWwxrd+4FtP8YRNZWVlUqlQJgJSUFLRarTn0G8hoEN9++y2jRo1i6dKlbPvjD7IvXGDqm2/y2uDBPHb33fJEGg1UqQLh4egCAvCpUgWuRuW46667rGy4++676datGyCjfwDm8JI1a9ZkzZo1+Pn5sXLlShYvXszBgwfx9fXl7rvvZs2aNfTo0YPvvvsOgMOHD9O0adOyC1VWSuySK66Lo0eQ8/LyxJ9//mk1t9pm/PqrEO3aWf/M1WiEGDzYtYYyHYC9dD5/XohHHy04mtC6tRA//OBe08D1eiG++kqItm2t2+LnJ8SYMUKkp1//eLv2ZYUZpbNjUDo7huJ09oY5yBMnTizwVr24Och//PFHgdHlL774QsydO1cAIjg4WDSuV09UCwkRvW67TRh37JCjxseOCZFv1LlevXrm63z66aeiSpUq4ujRo6JOnTpizpw5omLFimL48OHCYDCIrVu3ivzu5qVLlwod5TZ9EhMTxX///Sf8/PxEcnKyePDBB8XkyZNLrIuag6ywH507y1Hkzz6DG26QdULI4cJmzWDpUtdJw+ZmCAGffAJNmsCKFZb6xo3hyy8hPh7uu88+84rthU4HDzwAO3bILmJaPJ2bCzNnQqNGss2qyygUCoVzueWWWxDCkkClUqVK1KxZk6cef5zTO3aQunEjP86ZQ4sGDfhs6lQMFSsimjSRCcfyRe7SaDQkJydz1113MXbsWL7++mvq168PQMOGDdm0aRMff/wxgwYNKhDSLzg4mOTkZOLj46lQoQLHjh0jKyuLyZMn07FjR2644Qbq1KlD+/btmT17NuvWrSswQu0IlIPspuh0Oho3blxkyJ1yo9XCwIFw8KB8V27KspOWBk89BT17muKOeTS21DkxUU4/GDxYLrQDKeuSJTLE2oMPWhbAuSNaLQwaBIcPy2kjpmfp2bOyzfffD+fPFzzO7n1ZASidHYXS2TEoncuPwWAgIyODaoGBBJ08SS2NhuTUVJ6fMYPlM2dSsWVLjvv7c1P79py+5u+9EILQ0FA6duzI7t27iY6OZu/evZw9exZ/f386dOjAjz/+yIkTJ6wSqIB0rkNDQ5k+fTrVq1dn8+bNHDhwgAULFjBu3DjzfiNHjmTmzJk0aNCAW265xSGa5MeN/xx7NxqNhpCQEJvEabwu/v5ysunRo9LLMfHjj14xmmwLnY1GePttKdfPP1vqH34YDhyAZ55xvXnG5aFSJZg2TSZ0fOABS/2aNdC8OXz/vfX+DuvLXo7S2TEonR2D0rn8pJw/jxCC8NRUyMnhyIkT9Hz5ZWZMnUpEly5ogoOpX78+YWFhvPPOOwWO12g0TJ06lSpVqrB48WJatmxJ3bp1iY6OBuRo9datW83zn69l3rx5TJw4kZ9//pk2bdpw4cIFfv/9d86cOQNgzjVRoUIFMjMz7SPCdVAOspui1+uJi4srcU7xclO1Knz8MXz3neUdev7R5LNnHWOHgymvzikpcsHayJFg+hEdGSnDta1aJRe8eSr16smwdd9+C2Fhsu78eejVC557DkxZRx3el70UpbNjUDo7Bm/WeefOnfz7778kJyeTl5fHwYMHzR+DwcCZM2es6vbt28fOnTs5d+4cABkZGaQcP843ixZRqUIFqgYHs/yHH2g9aBCnLl7kubFjaXTjjYSHh+Pv709cXBzvv/++1UiwwWDg0qVLnDp1ilOnTnHnnXeyevVq1q9fz5UrV8z1p06dskplnp+IiAjatGnDyZMn6dSpE2vXruXgwYMcOXKEGTNm0L9/f+bNm8eZM2e45557ijyP3SjxrGfFdfGoRXrFcfGiEIMGWa/IqlVLiD/+cLwtdqY8Ov/5pxBRUdbrHP/3v+IXrXkiZ88K0bOndZepX1+I7dvVoiZHoXR2DEpnx+DNi/SCgoJEUFCQCA4OLtGncuXKIiAgQMydO1cIo1Hs37JFAEKj0YhRjz0mxN9/i59WrhTPPfusWLx4sfj555/F/v37RXJyskhLSxPJycnC19dXfPvtt2Ybatased2FdoV9TAlDDAaDmDdvnrjttttEtWrVxOzZs833cePGjaJZs2YiMjJS/PLLL0IIIQ4dOiRq164tqlWrJvbt21esPirMm8J5VKkiV2P17w/PPitHj5OS4I475FyCF190r1VmNkYIKcOYMTJNPUC1avDpp3IOsjdSvbp8+fDhh/DSSzJL6bFjMkX2ggUabrrJ2RYqFAqFe5Cenl62Aw0GSEykaYUK/Dx/Pi0aNiS8dm244QbuadOGewYMsNpdCEFGRgZVq1bl5MmTVM/3yjMpKanEl/3999+57bbbyMrKomLFimi1WmrVqsXgwYMZOHAgFStWNO9700038cgjjzBixAhzfaNGjdizZw8//vgjzZo1K1vby4CaYqEoO716we7dMuoFSG9w2DC5Uisjw5mWOY1Ll+RitFdesTjHt90mZfJW59iERiMz8+3eDR07yrrcXHjmGR1z5tThakhOhUKhUNia7Gy56P7iRQDu6tCB8KZNZcrUgIBiD69ejvmAnTp1Qghh5Qg/+OCDDBkyxKrOdJ2xY8cWqA8JCeGRRx4psw1lQTnIbopOp6NFixbOX8FbvbpceTZqlKVuxQq4+WZL9gg3pjQ6Hz0KHTrIxWgmXnsNfvkFIiLsaKSb0aCBTJDyv/9Z6r78siY9euhITnaeXZ6OyzwzPByls2NQOpeC1FS5Itw0h1irhfr15YKYYt72mpJ8eCPKQXZjHJqT/Hr4+MDs2TKQr2m16j//QHQ0bNniXNtsQEl03rZN/iY4ckRuh4bKQB/Tp0t5FNb4+sK778IHH4Cvr4yC8uuvGqKjZTY+hX1wmWeGh6N0dgxK52IQAs6ckaM3pljEAQHQtKkldGsxaN059mg58d6WuzkGg4H4+PgCAbidyoMPymwRjRvL7dRUuPtu6Ti7KSXR+csv4c47MY9+NmsGf/8N997rICPdmKefhk2bDISG5gLw338yzfbVDKMKG+KSzwwPROnsGJTOxSAEnDhhna+gShWZpaoEUypMZHjpdElQDrLC1jRpIp1kk3eYmysD/r77rnPtsgNCwKxZ8NBDkJMj67p2hd9/hzp1nGubO3HzzfDRR//Qrp0cSc7MlPGTP/7YyYYpFAqFO2I0ylXQ+cOiRUTI2JtqSkqJUQ6ywvYEBcmJuE8+KbeFgOHDZVgHo9G5ttkIvR6ef142ycQTT8hpFSEhzrLKfQkPz+PXXw0MHCi3DQap55w5TjVLoVAo3Au9XqYzTU2V2xoN1K0r8xd4cXSpsqAcZIV98PWVMb3ypY1k1ix4/HE5quzG5OXBgAHw3nuWuilT4KOPQE2JKzsBATIU3rBhlrpXXoHXX/foZI0KhUJhG3JyZKQKUxYmrVauig4Nda5dbopGCPWnxxakp6cTHBxMWloalStXtvv1hBAYDAZ0Op3rp9pctEiGLDCNHnfvDt98U6p5UM7iWp1zcuSUCtMcWV9f6Rg/9phz7XRnrtVYCJg6FSZMsOwzZAgsXqzeDpYHt3pmuDFKZ8dQnM7Z2dkkJiZSt25dAtzgb025yc6GQ4cwx8v08YGGDeGacGmlIb976E59ubh7X1J/TY0guzG57jIS+/zzMuewqaP+9BP07Sv/Q7sBJp2zs2WMY5NzHBAgU0Yr57j85O/LGg3ExMDChZY3gh98IKeyu0uXd1Xc5pnh5iidHYPS+Sr5nOMZy5Yxc8UKLkdGlss51uv1/PXXX1bppa/FlEgkzwZB7Hfv3s2OHTsK1B88eLDc5y4rykF2UwwGA3v37nWfFbx9+8KGDZb/sOvXu4WTbNL58mUDvXrBunWyPjAQvv9eJf+wBUX15eefh5Ur5Sg9yN9YAweiEoqUEbd7ZrgpSmfHoHS+Sj7nePehQ8S89x7j58/n5PnzRR5y/vx54uPj+eeff9i3bx/79u3j0qVLVvskJCRwyy23sH79+iLPk5KSQqVKlfDz80Oj0RT7mT9/vtXx69ato3fv3uTl5bF48WLmXF100qFDB7Zu3YrRaKRNmzYFjnMUykFWOI7bbpOjx/md5Pvvd3knOTNTS+/eWjZulNsVK8pmdO3qXLu8gYcflqP0ppcPX38NgwdbQnoqFAqF15LPOb6ckcGAmBii27Vj1KhR3HXXXRw6dKjQw9avX0+PHj3o2bMnPXv2pGXLlvzwww9kZWWRk5ODEIJGjRrRs2dPrlydz6zX68nMzLQaLa5SpQrHjh3j1KlTnDlzpsDnzz//5M4770Sr1fLII49w7zWxTzt37sy5c+eIjY3Fz88PPz8/1q1bR1JSEh06dODAgQNkZWXRq1cv+2l4HZSDrHAsnTpZO8k//eTSTnJGBowc2ZgtW+R/lcqV5UD47bc72TAv4p57ZFAU0wLIVavgqac8JiCKQqFQlJ58znGeXs/ACRNIuXyZz1auZPr06TzwwAO0a9eODz/8sMChgwYN4ty5cxw/fpz//vuPKlWqUKlSJe6//36qV69OeHg4QUFB7Nixg1GjRlGzZk3CwsKoWrUqn332mfk8Op2OevXqERERQY0aNcyflJQUYmJiuOOOOwgKCuKff/5hxYoV1K9f38qOn376iYcffpjIyEgSExM5efIk//77L3369OHXX39l06ZNNGvWjDr54qZmZ2c77K2ByvHlxrhtis1OneRchXvvlR7oTz/JwLdff+1SC/dycqB/fy179shJ/CEhctC7fXvn2uWJFNeX775bdo/775dTLJYvlw7ze+/JhdqKkuG2zww3Q+nsGLxW53zO8ZXMTB6ZOJHf9+zh119/5YYbbgBg/vz5NGzYkOeee44FCxYwcuRI+vbtSyVTtttr0Gq1/PTTTwDk5eURERHB22+/Te/evalQocJ1F+nt27ePWrVqUbVqVQA6duxIixYt+OWXX7j11lvR6/WFHrdq1SrOnz/PiRMnSEhIoFatWmzYsAGDwYBWq+Xo0aPs37+/wLW3bt1Kp06dSqta6REKm5CWliYAkZaW5mxT3IfffhOiYkUhZBQvIfr2FSIvz9lWCSGE0OuF6N/fYlpwsBB//+1sqxRffy2ETme5Ly+8IITR6GyrFAqFq5GVlSX+/fdfkZWV5WxTbEtOjhB79ggRFyd+W7JENLrhBhEZGSn++uuvArvm5uaK3377Tdx8880CED4+PmLo0KFCr9cLwOrz9ddfm4/7/PPPRcOGDUVGRoYQQghjMQ/ZBx98UDRt2lQkJSUJIYSIiIgQa9euFUIIsWjRItG9e3dhMBgKPXb//v0iPDxcNGrUSDz88MNixIgRIj09XVy4cEH4+PiINWvWiMuXL4ujR48KQPz7778iJyfnuvYUd+9L6q+pEWQ3RQhBWloawcHBbhV+xYrbbpOZNe67T44kf/stvPiijOflxDYJIc0wZcgODBR8/z20aeOmOrs4penL998PK1bAI4/IKRYLF8oFk7GxDjLWjfGIZ4YboHR2DOXSuV07OHvWPoaVlho1ID6+ZPvq9XDkCIasLAZNnMjK9evp06sXjw0eTIcOHQo9pEOHDvz555+sW7eOBQsW8Pzzz5NzNfXriRMnqFKlCgCBgYEAGI1Gpk6dyqJFiwgMDESv1/PYY49x6623Mix/kHrgxRdfpG/fvixfvpx+/frRuXNn9u7di4+PdC1nzJhBTEwMEydOZNu2bSxevJgPPviAgIAAhBCsWLGC4cOHM2HCBP777z/Onz/PmTNn6NWrF/fddx96vR4hBJUqVeLIkSNoNBrq16+Pn6MSDlzXfVaUGEePIOfl5Yk///xT5LnIiGu52LBBCF9fy7DgxIlONWfsWIspPj5GMWfOAc/Q2UUpS19evlwIjcZyn+bMsaOBHoJHPTNcGKWzYyhO5+uOIkZEWB4ezv5ERJSswQaDEAcOCBEXJ0RcnNj95Zdi1aefCiGEyMjIEMeOHRNJSUnik08+EYA4c+aMOHnypDh58mSBUyUnJwtAZGdnF/ju3XffFQ888IAQQo4c79y5U/j6+opPr14rP1FRUeL9998327BkyRIhhBB16tQRa9euFSNGjBAbNmwQQgixfv16AYjc3FwhhBCnT58Wt99+u/jmm29EamqqeP3110VsbKzIzMwU7777roiIiBAhISFi0qRJQgghvv/+exEZGVkiqdQIssJz6NYNPv5YDgsCTJ4sf1UPHepwU+bMgTfflGWNBpYuNdKgQarD7VBcn0GDICsLnntObo8cCRERMomLQqFQXJcaNZxtgYWS2CIEJCRYMuT5+NCyZ08aazQYDAYqVKhAvXr1AAgJCbl6Wst5jUYjOTk55lHilJQUtFoteXl55qgUAQEBfPvtt4waNYqlS5eybds2srKymDJlCmPGjOHRRx8tYJZOpzOPFleoUIG77rrL6vu7776bbt26AZYRat+rcTtr1qzJmjVr8PPzY+XKlSxevJiDBw/i6+vL3XffzZo1a+jRowffXU08cPjwYZo2bVq8VjZEOcgK12DgQDh3Dl5+WW6/8AKEh8vFew7i449lamMT8+fDgAGixG+/FI7l2WchKUn+ngLpNNeooSKMKBSKYnCnh7oQcPw4pKbKba1WZsgLCODxAQP4/PPPCz2ssGkn4mpmvOTkZIxGI0FBQebvvvjiC5KSksjJyeH555+nZs2aJCcnEx0dzWTTQ/YatPlWSK9YsYJhw4YRFxcHwJEjR4iJieHpp5/m7bffLmBPWlqaeXqHierVq5vLiYmJaDQaxowZQ0pKCtu2bePWW28tQiT7oNZ/uykajYbAwEDPmuP20kswZowsCyFHlLdsccilN22S6YxNTJkifXSP1NnFKI/GEyfCk0/Kcm4u9OkD//5rYwM9BNWXHYPS2TF4jc5JSZCcLMsaDTRoYA6T+uabb/LPP/+wf/9+Dhw4wIEDB1i0aBGAeXvTpk3s37+f+Hw/Cm655RaEEOZPpUqVqFmzJk899RSnT58mNTWVH3/8kRYtWrBs2bIiNdZoNCQnJ3PXXXcxduxYvv76a3Mot4YNG7Jp0yY+/vhjBg0aVCA0W3BwMMnJycTHx1OhQgWOHTtGVlYWkydPpmPHjtxwww3UqVOH9u3bM3v2bNatW1dghNreKAfZTdHpdLRs2dLzwtxMnw6PPy7LOTkO8XgOHYIHH5TrHwCGDYPx42XZY3V2IcqjsUYjQ7117y63U1Nl9MCkJNva6AmovuwYlM6OwSt0vnABzpyxbNetK4PxX6VevXo0a9aMhQsXsmDBAho3bkxkZCQAjRs3Jjs7mx49enDkyBHatm1b6CUMBgMZGRlUq1aNoKAgatWqRXJyMs8//zzLly8nPDycEydO0KxZM06fPm11rBCC0NBQOnbsyO7du4mOjmbv3r2cPXsWf39/OnTowI8//siJEycKpKzWaDSEhoYyffp0qlevzubNmzlw4AALFixg3Lhx5v1GjhzJzJkzadCgAbfcckt5FS0VykF2U4xGI+fPn8foadkSNBp4/30Z2QIgLQ169bL8grYxKSnQo4fl7VXPnvD225YgGh6rswtRXo19fWXEkTZt5PaJE7L7pKfb0EgPQPVlx6B0dgwer3N6unyYmYiKgqtxhi27pNOvXz+WLFlCq1atCpyiVatWvPLKK/Tv35+vv/660MukpKQghCA8PByQUyN69uzJjBkzqFWrFnl5edSuXZuwsDDeeeedAsdrNBqmTp1KlSpVWLx4MS1btqRu3bpER0cDcrR669atRcZfnjdvHhMnTuTnn3+mTZs2XLhwgd9//50zV38Y+Pv7A3KOc2Zm5vU1szHKQXZTjEYjCQkJnvlw8PWFL76weDwJCXKINzfXppfJyZFTnI8dk9stWsBnn0H+AQmP1tlFsIXGlSrBDz/A1Rj57Nkjp7WrlNQWVF92DEpnx+DROmdny797V+cMU726/OQjLi6OVq1a8dtvv7FhwwaefvppkpKSOHz4sNV+U6dOZdCgQTz88MP8/PPP5vqMjAxSUlL45ptvqFSpElWrVmX58uW0bt2aU6dO8dxzz3HjjTdSq1YtAgICiIuL4/3337caCTYYDFy6dIlTp05x6tQp7rzzTlavXs369eu5cuWKuf7UqVNcuHCh0KZGRETQpk0bTp48SadOnVi7di0HDx7kyJEjzJgxg/79+zNv3jzOnDnDPffcU+R57IFapKdwTSpWlPmFo6NlvMotW+TcBxvFSBZCRkD47Te5XaMGfP895FuzoHAzatSQCRpvuQUuXZIhtsePl7N2FAqFwi0wGODoUcucv8qV4eq0ifyEhYXRvHlz3n77bXMEi5iYGD766COaNWtmte+iRYuoVasWt+dbwXz8+HGaNWuGRqPhlaur06tXr85jjz1G69atqV+/PjVr1iQoKIiIiAjS0tKoUaMGGzZsoE+fPgDk5uYycuRIRo4cWeLmGY1GtFotRqOR+fPns3r1ag4cOMCYMWN46aWX8PHxISAggBdeeIG0tDS+//57unTpQvfu3enWrRtNmzZl8+bNBdpoD5SDrHBdIiNl8pA77pDDvUuWwE03SUe5nMycKaNWgMxuvWaNfIOlcG8aN5bTLe65R/6dmTFDvhkYONDZlikUCkUxmMK5ZWfL7YAAqFev0EGhG264gTVr1ljVjR49mv79+xeI9uDn58cbb7xhVde0aVN+/vlnWrRoYZ5ecc8993DPPffkM0eQkZGBVqulatWqnDx50irSRFIpFnv8/vvv3HbbbWRlZVGxYkW0Wi21atVi8ODBDBw4kIpXFx4C3HTTTTzyyCOMGDHCXN+oUSP27NnDjz/+6BDnGEAjTHE/FOUiPT2d4OBg0tLSqJxvEr29MBgMHD58mEaNGnn2IgWATz+VMbxAhrhZtw7uvrvMp/vmG+vocV9+KWdwFIZX6ewk7KHxO+/AiBGyHBgIv/9umbHjrai+7BiUzo6hOJ2zs7NJTEykbt26BAQEOMHCMnDypAx3CuDjI3/xO9F2IQTZ2dkEBAS4VbSQ4u59Sf01t5mDHBsbS1RUFOHh4cTExJR43tETTzyBRqMp9LNs2TIANmzYUOj32aZfcS6ITqejSZMm3vEAfuwxeO01WTYaZTaIQ4fKdKqDB2HwYMv2tGlFO8fgZTo7CXtoPGyYJfxbVhb07Qvnz9vs9G6J6suOQensGDxO5+Rki3Os0ciRYyc79l4TSq8I3MJBnjt3Lq+++ipDhgxh6dKlrFy5ktmzZ5fo2EmTJhEXF2f1Wb58ORqNxrzqc9euXURHRxfYz7R60hUxGo2cOnXKMxcoFMa0aTLkG8jIFr17lzpMweXLcuTYlIxo4EB4/fXrH+N1OjsBe2is0cCiRdCxo9w+edIu6zzdCtWXHYPS2TF4lM5XrshkICaioqzCuTkLIQS5ubl460QDl5+DnJuby+TJkxk6dCgTJ04EZLiP+++/n1deecWc5rAobrjhBm4wLW2/SmxsLA8++KCVg9yhQwfatWtnjybYBdPDoUaNGlbZbDwWrRY++QRuvRX++QcOH4annpLzI0rw61YIufuBA3K7eXMZTa64Q71OZydgL439/eHrr6FdOxkXeetWOe3iahx9r0P1ZcegdHYMJdXZ5Z27vDzriBXh4fLjIuTm5prTQ7sLtrrnLv+/Nz4+ntTUVKs84F26dAEwpzQsDfv37+err76ySp24c+dOc8w+hQsTFCQX7QUHy+2vvoK5c0t06Jw5sHq1LAcHS8cp35oAhYdSs6acc256GbR4MXz0kXNtUigU9sfk1Dk6dm6pEAISEy2vtipVKjRihaJ0ZGRkoNFoyu3Yu/wIsmmVZIsWLazqo6KiOHLkCDfffHOpzvfWW29x33330aRJE0DmAz969Cjz589n2LBhaLVaevToQWxsLDVq1CjyPDk5OeTk5Ji306++7tfr9eivhmfRarXmcCb5XwOZ6g0Gg9UvnaLqdTodGo3GfF7AvI8QwqretL9pn/z4+PgghLCq12g06HS6AjYWVW/PNl3PdnN97dpoli5FZ1pl9+qriOhoDKZ36YXYvmWLhjFjtIAcLv74YyM33GA0R9G5XpuAAprZvE2eeJ9K2ab839m6TW3bGli0CJ56Str24ouCdu00NG3qXffJdIzBYPCYNpWk3tFtKqrszm26Xr2z2gRFP5tNz5TKlStz7tw5hBBWURLyo9FoCh1xLKq+NBR77vPn0Vz1HYSPD5patRD5/Iqy2mirNgkhyMnJQavVmjW3ty1lrTf5QpcvXzYvwrvWPzL1vWv7alG4vIOclZWFTqcj6JoAtYGBgaUOGJ2SksLKlSv57rvvzHXx8fEIIWjbti3Tpk0jKSmJsWPH0r9/f7Zu3VrkuaZPn241Cm1i165d5v+IYWFh1K9fn8TERCtbIyMjiYyM5PDhw6SlpZnr69WrR3h4OPv27bMKxt24cWNCQkLYtWuX1cMgJCQEIQR///23lQ3t2rUjNzeXvXv3mut0Oh3R0dGkpaVx8OBBc31gYCAtW7YkOTmZhIQEc31wcDBNmjQhKSmJU6dOmevt3aYWLVrg5+dnlTe+QJtq1iRq0CAiPvkE9HrEQw+x+4MP0F/NMpS/Tdu3n+KJJ5pjMMj/GOPHQ9u2ScTHl6xNtWrVQgjBrl277NsmT7xPJWzTxYsXycrKMmtsjzY1aZLF/ffX5ZtvqpOdraF/f3jvvT0EBOR51X0y6exJbXLF+xQYGIhWq+Wff/7xmDa52n268cYb8fPzs3o2F9Ymk1Pv4+NDXl6elaPt4+ODTqcrMM/W19cXrVZrNQhmqtdoNORes5jBz88PIQR5eXlW9f7+/hiNRqt6jUaDn58fxowMtPkyxOpDQ/E5fRq9Xl/A6ff19S1gu06nc0ibcnNzrRbpXa9NBoPByvk02e6oNgkhMBqNREZGUrVq1SL7Xv4+cz1cPszbF198weDBgwtElOjUqRPdu3dn/PjxJT7X7Nmzef/99zl06JD5hqelpZGYmGiVpnHTpk3cdddd7N27l+bNmxd6rsJGkKOiokhJSTGHDXH3X+guPeqg16Pt3h3tli0AGLt0wbhuHVw9r06nIzvbyB13aNixQ97rbt0E69Zp0GhctE1X8aj75EJtys6G227TsXu37A8PP2zkk0+M5nno7tim/DZ6yn1SbVJtsnWbTOd1mTadPYvo1w9Naqo87uWXYcgQr79P5WmT6VomJ/t6bbp06RKhoaHFh+UVLs6vv/4qAJGcnGxV36RJEzFnzpxSnatly5Zi/Pjxxe6XlZUlALF8+fISnzstLU0AIi0trVQ2lRWDwSCOHj0qDAaDQ67nkpw5I0TNmkLImVxCjBtn9fXIkZav6tQR4pouVCKUzvbHkRofOSJE5cqWfrFokd0v6TKovuwYlM6OwW11zs4Won17y0OoVy8hXLQNbqtxMZTUX3P5RXqtW7fGz8+PP/74w1x3+fJlDh8+TK1atUp8nkOHDrFnzx769etnVZ+YmMi+ffus6i5evAjg0nGQjUYjFy5csPr15XXUqAGrVoEpDua0afDDD4DMJTJnjqz285Pr+UJDS38JpbP9caTGDRpYL9IbMQJ27rT7ZV0C1Zcdg9LZMbitzq+8Ajt2yHLdujKlq9Y1XTG31dhGuOZdyUdwcDDdunUjNjbWPFy+YMEChBDceeedJT7P119/TWRkpNVUCtO5nn/+eau65cuXA9Ax38IvhYty++0wfbpl+/HHObcriccft1TNmgVt2zreNIVr0q8fDB8uy7m50L+/DK2tUCgUduXbb2HBAln295ehlapUcapJiqJxeQcZYPLkycTFxdGxY0ceeughxo4dy7BhwwgLCyMlJYX4+PgCc02uZePGjXTq1KlA/dNPP018fDyDBw/mk08+YeTIkYwfP57+/fsXOf9Y4WKMGiUThwCkpHDqrsdJviB/8fbsaXGGFAoTs2eDKbJjQgI8/bQlDKlCoVDYnNOn5YPGxLx50KaN8+xRFItbOMht27Zlx44dREREkJCQwMyZM3nrrbcAWLt2LdHR0Vy+fLnI43Nycti2bRu33HJLge+aNGnCmjVr2LNnD8888wxr165l9uzZrFy50m7tsQVarZbIyEhzKDKvRqOBDz+Eq1Nu2l7cyEjmUKsWLF1aojwiRaJ0tj/O0NjPD774AkJC5PZXX8ku5MmovuwYlM6Owa10Nhhg0CC4On2TBx6AZ591rk0lwK00tgMuH8XCXTDF3St2VaTCbux/dxNNhndDiyAXX/Ys/pPo59TcCkXRfPst3H+/LFeoALt3Q8OGzrRIoVB4HDNnwmuvyXJEBOzdC1fDkiocT0n9Ne/8WeABGAwGDhw4UOzUEm8hNRV6vNWVWbwKgB95RL81UOa4LwdKZ/vjTI379oVnnpHlzEx49FGZ+dUTUX3ZMSidHYPb6BwXJwPwg3yd+emnbuMcu43GdkI5yG6KEIK0tDTXzzPvAISA556D48dhAlM4UKmd/OLIEXjppXKeW+lsb5yt8dtvQ6NGshwXB4Xk//EInK2zt6B0dgxuofPly/DII5jTtr7+OnTu7FSTSoNbaGxHlIOscHs++0zOJwWoGOJH5bWfgSmt6IcfwpdfOs84hctTsSKsWAFXY8szfTr8/rtzbVIoFB7A8OFw9Kgst28PkyY51RxF6VAOssKtOXUKXnzRsr1kCUR0bgjz51sqn30WTpxwvHEKt6FdO8vIsdEIjz2mQr8pFIpy8PnnsGyZLAcFyZEcX1+nmqQoHcpBdlO0Wi316tXz2tWlIB2ZJ5+0ODKPPipj2gLw+OMwYIAsp6bK8DplCHaudLY/rqLxmDFw222yfPy49Q8vT8BVdPZ0lM6OwaV1TkqC/PkVFi6E+vWdZ08ZcWmNHYCKYmEjVBQLxzN/PgwbJssREfDPP9fEXE9NhebN5TAzyADtL7zgaDMVbsTx49CiBaSny+3PPoOBA51rk0KhcCOEkAH4f/xRbj/8sMz4qnAZVBQLD8dgMLBnzx6vXV166BC8+qple+nSQhIShYRYB7cdPdoyH6yEeLvOjsCVNK5TBxYtsmy/+CKcOeM8e2yJK+nsySidHYPL6vzRRxbnuEYNS+Y8N8RlNXYQykF2U4QQZGVleeXqUr0eBg+GrCy5/b//QbduRex8992WV12ZmXJORin+s3uzzo7C1TR+5BHL7JxLl2SEFBcxrVy4ms6eitLZMbikzsePw8svW7bffx9CQ51nTzlxSY0diHKQFW7HjBmwY4csN2okY7Bfl1mzoF49Wf79d5g7157mKTyA+fOhenVZXrtWhi5VKBSKIjEa4amnZGg3kOWePZ1rk6JcKAdZ4Vbs3GmJNqDVwvLlMgPadalUSa4mNuWcHjcO/v3XnmYq3JzQUFi82LI9fLhcd6NQKBSFsnAh/PKLLEdFwZw5zrVHUW6Ug+ym6HQ6GjdujE6nc7YpDiM3F554whJzfexY6NChhAffdpvl1VdOjoxyYTrRdfBGnR2Nq2rct6+MjAJyveezz7r3VAtX1dnTUDo7BpfS+cgRGQbHxEcfQXCw8+yxES6lsRNQDrKbotFoCAkJQWMaFfUCZsyQkSoAWrWCmJhSnmDqVGjcWJbj4+UJi8EbdXY0rqzxO+/IdTYAP/wg31i4K66ssyehdHYMLqOzwSBHbjIz5faLL8JddznVJFvhMho7CeUguyl6vZ64uDj0JRgF9QT27ZP+LYBOJ3+g+/mV8iSBgfDxx/IEIOdqmDzuIvA2nZ2BK2tctSq8955le8QIOH3aefaUB1fW2ZNQOjsGl9F53jzYtk2W69cvwaIY98FlNHYSykF2Y7wl9IrBIPN85OXJ7TFjoHXrMp6sfXt47TVZ1uthyJBio1p4i87OxJU17t0bBg2S5bQ0eOYZ951q4co6exJKZ8fgdJ0TEmD8eFnWaORal4oVnWqSrXG6xk5EOcgKl2fuXEvUisaNyzC14lpiYixTLXbskO/RFYrrMG8e1Kwpy+vWufdUC4VCYQOEkDEgTfFGX3wROnVyrk0Km6IcZIVLc/So9Q/0jz6CgIByntTfHz74wBLVYvx4SEws50kVnkyVKrBkiWV75Eg4f9559igUCiezbBls3CjLUVHw5ptONUdhe5SD7KbodDpatGjh0atLjUY5AyI7W24PHw4332yjk996qyXtdGZmkSEKvEFnZ+MuGvfsaUk7ffGidT4Ad8BddHZ3lM6Owak6nz0rfyWbeO89CApyvB12xtv7snKQ3Ri/Uq9Scy+WLIEtW2S5bl2YNs3GF5g+Xf7yBzkS8PHHhe7m6Tq7Au6i8dy5cuEewGefyekW7oS76OzuKJ0dg9N0HjZMxn4EGQvy3nudY4cD8Oa+rBxkN8VgMBAfH++xE+hPnoRXX7Vsv/++HdY+BAVZZ4MYORLOnbPaxdN1dgXcSePwcHjrLcv288/DlSvOs6c0uJPO7ozS2TE4Tedvv4XVq2W5WjWPzszq7X1ZOcgKl2TYMEvGziFDoGtXO13ovvvgkUdk+dIlOY9DobgOjz8Od94py8ePw4QJzrVHoVA4iLQ0uRjPxLx50klWeCTKQVa4HN9+C2vWyHKNGjB7tp0vOHeuzC0M8MUXlosrFIWg0cgph6bFovPmQVycc21SKBQO4NVXLTnn773XsihB4ZEoB1nhUly+LEePTcydCyEhdr5oWJj1a7L//c8yfK1QFEKDBjBxoiwbjTI2silOt0Kh8EB+/90SyqZSJTk9z0szzHkLGiHcNeS9a5Genk5wcDBpaWlUrlzZ7tcTQmAwGNDpdB6VBnLkSHj7bVm+5x65CMohzRNCTrf46SeLIW+95bE6uxLuqnFeHkRHw549cnvGDJnExlVxV53dDaWzY3Coznl50KaNTOkKMnZ+/pEcD8VT+3JJ/TU1guzG5ObmOtsEm7Jzp3xdDfL19cKFDvyBrtHA/PnW782vej6eprMr4o4a+/rKxaPaq0/RSZNkYi1Xxh11dkeUzo7BYTrPnWtxjtu2tYQI9QK8uS8rB9lNMRgM7N2712NWlxoMMimR0Si3Y2KgXj0HG1G/PowbZzFo6FAMeXkepbMr4s59OTrasq4zO1sOKrnqOzl31tmdUDo7BofpfPy4/PULciBl8WLwkrjA3t6XlYOscAkWLoT4eFlu2hRGjXKSIaNHw403yvL27Wg+/NBJhijchSlToFYtWf7xR7XGU6HwKIYPl8mkQEawaNfOufYoHIZykBVO5/Rpy8AtyAgBTotN7u8PixaZN7XjxuFz8aKTjFG4A0FB1ms8hw+HjAynmaNQKGzFmjXw3XeyXKMGTJ3qXHsUDkU5yG6Mp6R/fOklS9CIp5+GTp2cag506QKPPQaA5tIlbliwwMkGeT7u3pcffBDuvluWT56EN95wrj1F4e46uwtKZ8dgV50zMqzj4r/9NgQH2+96Loo392UVxcJGODqKhaewfj107y7L1arBwYOWkMRO5dw5aNzYkk7011+hc2dnWqRwcY4cgZtugtxc8PGRazybNnW2VQqFokyMGQOzZslyt27yj5UHRXLwZlQUCw9HCEFqairu/PsmJ8c6Uk5srIs4xwDVq8u4XVcRzz8vPR+FzfGEvgzQsCG89pos6/VyobsrNclTdHZ1lM6Owa46//MPzJkjy/7+sGCBVzrH3t6X3cZBjo2NJSoqivDwcGJiYjCawh2UgEceeQSNRmP1GTBggM3O7wwMBgMHDx5069Wlc+bIUTeAW2+FwYOda08BnnkG0b49AJqDB+Gtt5xskGfiCX3ZxGuvWaKvbNkCn37qXHvy40k6uzJKZ8dgN52FkL9u9Xq5/frr8tevF+LtfdktHOS5c+fy6quvMmTIEJYuXcrKlSuZXYr8w7t27WLy5MnExcWZP2+++abNzq8oPSdOWNY7aLUu+gNdq8WwYAHCFOh26lQ4dcq5NilcmsBAGU7bxKhRcOmS8+xRKBSl5LPPZNY8kCkzXTn7j8Ku+DjbgOLIzc1l8uTJDB06lIlXc7tWqFCB+++/n1deeQUfn+s3ISMjg8OHD9OjRw/atm1r8/MrysYrr1gi57zwArRs6Vx7iqRVK8498AA1Vq+WBo8eDStXOtsqhQtz773wwAPw9ddw/jyMHy9/ACoUChfn8mX5jDfx7ruW5FEKr8PlR5Dj4+NJTU3l0UcfNdd16dIFgLi4uGKP37NnD35+fjRv3twu53cWGo2GwMBAt0z/uHEjrF4ty2FhrrviH6TOycOHI6pVkxWrVsHmzU61ydNw575cFHPnQsWKsrx4sSUdtTPxRJ1dEaWzY7CLzm+8AWfOyHLv3pYV5F6Kt/dll3eQk5KSAGjRooVVfVRUFEdME1ivw99//01AQADt27cnMDCQBg0a8Pbbb9vs/M5Cp9PRsmVLtwvBkptrvTBv5kwICXGaOcWi0+m46bbb0EyfbqkcNswyP01Rbty1L1+PqCg5cgwyO6QrZNjzRJ1dEaWzY7C5zgcPWgKa+/vLsG5ejrf3ZZefP5CVlYVOpyMoKMiqPjAwkAsXLhR7/I4dO/Dz8+PZZ5/lxhtvZP369YwcOZLKlSvz9NNPl/n8OTk55OTkmLfT09MB0Ov16K86T1qtFq1Wi9FotFr0Z6o3GAxWq0OLqtfpdGg0GvN5AYxGI5cuXaJatWoFVpiaOvO1E+t9fHwQQljVazQadDpdARuLqi9vm95+W8PBg9K+jh3h0Uf1Vr5mUbY7q00A58+fp+pjj+G7eDGav/+Gfftg4UIML75Y7H1yxTaVt+/Zuk16vZ4LFy4QGhqKVqv1iDYZjUaGDTPy4Yc6jh7VsHUrfP45PPSQ89pkNBpJSUkhNDQUX1/fMrXJ0/qePdpkejaHhYUhhPCINl2v3llt0mg08tlctar5WV3mNun1aIYPR5uXB4AYPRpNvXpef5+MRiPnz583P5s9oU1Agf2LwuUdZH9//0LnAfv5+ZGVlVXs8ZMnT+bNN98kKioKgK5du3LmzBkWLlzI008/XebzT58+ncmTJxeo37VrFxWvvlsNCwujfv36JCYmWjnbkZGRREZGcvjwYdLS0sz19erVIzw8nH379lldu3HjxoSEhLBr1y7zDRdCYDQazfX5adeuHbm5uezdu9dcp9PpiI6OJi0tjYMHD5rrAwMDadmyJcnJySQkJJjrg4ODadKkCUlJSZzKtzCtPG06flzP5MmtANBoBAsWaNizZ5dVJ27RogV+fn7Em/JOO7lNNWrUYN++fVSsWJGg55/npiFD5JcTJnCweXMuBwZe9z65YpvK2/ds3aYLFy6we/duQkJC0Gg0HtEm030aOjSEUaMaA3LBXps2Z7h48aRT2mQK2RQSEkJ0dLTqe3ZqkxCC3NxcQkND2b9/v0e0CVzvPjVs2JADBw4QEBBgngJQ1jadePdd6v78MwA5NWqQ9fzzhIDX36esrCyrZ7MntCk3N7eAz1QULp8oZPPmzXTp0oXk5GRC8wXJbdq0Kc888wwvv/xyqc+5ePFihg8fTnZ2Nr/99luZzl/YCHJUVBQpKSnmwNP2/JVkMBjYuXMn7dq1KzA/yFV/zT72mIZVq+Sv0KFDBYsWuf5IitFoJC4ujjZt2qDT6dA+8wzaZcsAMD75JMYlS6xsVKNDpW9Tbm4uf//9t1ljT2hTfht799aybp3s92PHCiZPtuzvyDaZnhlt2rTB72oud2/ve/Zok0nn6OhoNBqNR7TpevXOapMQwurZXOY25eQgmjZF899/0q7PP0fbv7+6T1ff7sXHx1tp7O5tArh06RKhoaHFJgpx+RHk1q1b4+fnxx9//EHv3r0BuHz5MocPH6ZWrVrXPdZoNLJ161batWtnHtUFuHjxonkqRFnP7+/vj7+/f4F6Hx+fAiPSppt7LUXN6ymq/trzml4zFRVpo7D6ovYvysbS1hdl+59/6li1SpZDQ2HaNE2RNpa23p5tMhqN5v/kPj4+ctL0N99AWhrapUvRDh0KV2Mll8V2Z7QJyt/3ylJ/vTZZaVyM7e7SJpONc+fKhal5eRAbq+Gpp3yoX7/o/Utie1nbZNLZ9KNa9T37tMmkrye1qbh6R7dJr9cX+twoav8ibZ81y+wc07Uruv79zTFHvf0+mXyMazV25zZdr76AfSXay4kEBwfTrVs3YmNjzb8GFixYgBCCO++8s9jjH3roIVaZPDPkf6qVK1eaHePynt9ZmF5Fu8PqUqMRXnrJsj1tGlSt6jRzSkUBncPDYcoUyw4vvigbqCgz7tSXy0KjRmB6EZWbCyNHOscOT9fZVVA6Owab6Pzff5aMqT4+8M47LhiQ33l4fV8WbkB8fLwICAgQ7dq1E/379xcajUaMGDFCCCFEcnKyiIuLE3q9vtBjJ06cKCpXrixmzZolPvzwQ3HbbbcJrVYr1q5dW6Lzl5S0tDQBiLS0tLI202P56CMh5Bp+IVq0EKKIW+U+5OUJcdNNlkYtXepsixQuTnq6EDVrWrrMunXOtkihUIgHH7T8pxw50tnWKBxESf01lx9BBmjbti07duwgIiKChIQEZs6cyVtX0/6uXbuW6OhoLl++XOixMTExvPDCC8TGxjJs2DC0Wi3btm2jZ8+eJTq/q2I0Gjl16pTV/B1XJD1dZuo0MXcuFPGWxCUpVGfTSIOJ11+XAeYVZcJd+nJ5CAqCWbMs2y+9JEeTHYk36OwKKJ0dQ7l13rLFEpA/PByuJgpTWPD2vuzyi/TchfT0dIKDg4ud9G0rTJPn27Vr59LZ/saMsTgG/fpZnkfuwnV1fuABOR8ZYOxYOXdEUWrcpS+XFyHg1lvhzz/ldmyszCjpKLxFZ2ejdHYM5dLZYIDoaDBFM3j/fTBFKFKY8dS+XFJ/zS1GkBXuydGj1nHXZ892qjm2Z/ZsuBoNgLfegsRE59qjcGk0Gpm51jSd7403oASh3BUKha1ZtsziHLdqBU8+6UxrFC6KcpAVdmPUKMtr5Fdegbp1nWuPzalf37L6MCdHDpcrFNehbVt44glZTkuDSZOcaY1C4YWkp8O4cZZtd5v3p3AYykF2U7RaLWFhYYWGSHEFNm6ENWtkuWZN63nI7kSxOo8bJ+evAXz5Jfz2m+OM8xBcvS/bmmnTwBR1cvFi2L/fMdf1Np2dhdLZMZRZ5zffhHPnZLlfP7jjDtsb5yF4e19Wc5BthKPnILsyer18a2X6w798OQwa5FST7MsHH8Azz8hy69YQF6dGJBTXZdo0GD9elu+5B376ybn2KBReQUICNGkiX236+cGBA1CvnrOtUjgYNQfZwzEajRw7dswlV5cuWWJxjtu3h0cfda495aFEOj/5JLRsKcu7dsHHHzvGOA/BlfuyvRg5EmrXluX162HdOvtf0xt1dgZKZ8dQJp1Hj7bM+3v5ZeUcF4O392XlILspRqORCxcuuFzHTUuzjpYzbx6489uZEums01lWI4KMaKHCvpUYV+3L9iQwUCZlNDFypMy0Z0+8UWdnoHR2DKXWefNm+PprWa5eXT6nFdfF2/uyG7suClfkzTchOVmWBw6Ejh2da4/D6NxZhn0DOb/tzTedao7C9Xn4Ybj5Zlk+eBDee8+59igUHovBYElnCXKOk5dPhVQUj3KQFTYjMdE6rNv06U41x/HkD/v29tsyjalCUQQajewmJiZOhEuXnGePQuGxLF8Ou3fLcuvWllAyCsV1UA6ym6LVaomMjHSp1aWvv26Z3vXSS1CnjlPNsQml0rlePeuwb/lDCSmKxBX7sqPo0MEyR//iRZgyxX7X8madHYnS2TGUWOeMDOtn8Zw5ahF1CfH2vqyiWNgIb49isX275XVxtWoySUhwsHNtcgqpqdCgAaSkyO0dO2TGJoWiCE6ehBtvhKwsmcV8/35o1MjZVikUHsKUKZaFMb17W+KPKrwWFcXCwzEYDBw4cACDweBsUxBCLjIyMWWK5zjHpdY5JMR6leIrr0iBFEXiSn3ZGURFyaQ6IEMk2itmuLfr7CiUzo6hRDqfOQOzZsmyTmcpK0qEt/dl5SC7KUII0tLScIUXAF9+CX/+KctNmlhCAnsCZdJ56FBo2FCWt25VIxbF4Ep92Vm8+qpcWA9yof0ff9j+Gkpnx6B0dgwl0nniRDnFAuRz+cYbHWOch+DtfVk5yIpykZMDr71m2Z49W74m9mp8fa1HKl591f4xvBRuTaVK1vOPR41SLx4UinKxbx98+KEsV65s/WZPoSgBykFWlIt335XRKwC6doX77nOuPS5Dnz5w222yfOSIiuGlKJannoKmTWV5+3ZYvdq59igUbs3o0WCK3zt2LISFOdcehduhFunZCEcv0jMajSQnJ1OtWjWnrTBNSYH69WVyEI1GJpEzJZTzFMqlc1ycTCUIEBoqVy6GhNjcRnfHFfqyq/DDD9CzpyzXqycz4ZoiB5YXpbNjUDo7huvqvGGDzOEOMmXloUMQEOB4I90cT+3LapGeh6PVagkPD3dqp506VTrHIMNKeppzDOXUOToaHnlEllNSvDAwdMlwhb7sKtx3H3TpIssJCbBwoe3OrXR2DEpnx1CkzgaDHD02MX26co7LiLf3Ze9stQdgMBjYs2eP01aXJiTAggWyHBgIb7zhFDPsTrl1njZNZk0BmXdbJQ8pgLP7siuh0UBsrGX7jTdk5EBboHR2DEpnx1CkzsuXw969styuHQwY4HjjPARv78vKQXZThBBkZWU5bXXp+PGWdWcvvwwREU4xw+6UW+cbboARI2RZJQ8pFGf3ZVejTRt47DFZvnjRdlnLlc6OQensGArVOTNT/nEy8dZb4KWjn7bA2/uy6jmKUhMfDytXynK1ajJIg+I6jB0r5yADfPYZ7NzpXHsULo968aBQlIG5cyEpSZb79IHbb3eqOQr3RjnIilIhhLVDPGGC5yQFsRvBwdajGvnj4ikUhVC7tiVreW6uevGgUBRLcjLMnCnLWq1a86EoNyqKhY1wdBQLUwDv4OBgNBqN3a9nYt06Syi3+vXh339tt8reFbGZzjk50LixZShwwwbo1s0mNro7zurLrk5amvw/Zspa/vffcvpFWVE6Owals2MooPPLL8sRZJDZqpYscap9noCn9mUVxcLD0Wg0hISEOLTTGgzWo8dvvunZzjHYUGd/f/ne3MSYMZYYnV6OM/qyOxAcLN/QmCjviwels2NQOjsGK50TE61XjU+a5FTbPAVv78vKQXZT9Ho9cXFx6PV6h11z+XKZnAhkBLP+/R12aadhU50HDLAMAe7aZZnI7eU4oy+7C889B3XryvLPP8tPWVE6Owals2Ow0jn/qvGRI6FWLeca5yF4e19WDrIb48jQK1lZEBNj2Z49W4ak8gZsprNWa5kjB/KhnpNjm3O7Od4aRqg4/P1lvHETr71WvhcPSmfHoHR2DAaDQS56/uwzWREaqlaN2xhv7svKQVaUiHnz4PRpWe7ZE+64w7n2uC133WWZe/zff7bNBKHwSAYMgFatZHnnTvjiC6eao1C4FNqxYy0bMTHggDVACu9AOciKYrl4EWbMkGWt1lJWlJH8o8j50xEqFIVw7YuHceNkZAuFwtsJ3rED7aZNcqNuXRg61LkGKTwK5SC7KTqdjhYtWqDT6ex+renTrVNKN2tm90u6DHbRuXVrePRRWb540dr78UIc2ZfdlW7doGtXWU5IKNsCfaWzY1A6OwadRsONH31kqcgfPFxhE7y9L6swbzbCGWHeDAYDOp3OritMT56Ehg3lVFl/fzhyBKKi7HY5l8NuOv/3H9x4oxwKDAiAo0c9Nx1hMTiqL7s7f/8tM+cChIXBsWMQFFTy45XOjkHp7BjEp5+iGTRIbrRtCzt2qKx5NsZT+7IK8+bhGAwG4uPj7T6BftIkyzqyYcO8yzkGO+p8ww3w4ouynJ0NU6bY9vxuhKP6srvTtq2cjwxw4QLExpbueKWzY1A6O4DcXOsYiDNnKufYDnh7X1Y9SlEkBw7AsmWyHBwMr7/uVHM8j3HjLAtKPvwQDh92rj0Kl2fqVPDxkeW33oKzZ51rj0LhFJYsQZOYCIAx//wjhcKGKAdZUSTjxllCSo0ZA1WrOtcejyM0FEaPlmWDwTodtUJRCPXrW9YhZWTAG2841x6FwuFcuWLV8Y3qP4HCTriNgxwbG0tUVBTh4eHExMRgLEUw0F9//ZXWrVvj5+dHSEgIr776qtXxGzZsQKPRFPhkZ2fboyluwfbt8M03slyjBgwf7lx7PJaXXoLwcFn+8kuIj3eqOQrXJyYGKlaU5SVL5KI9hcJrmDsXzp8HIKVrVzn3SKGwA27hIM+dO5dXX32VIUOGsHTpUlauXMns2bNLdOzBgwfp2bMn4eHhLFq0iIceeojZs2ezMF/82V27dhEdHU1cXJzVx9+FV8TqdDratWtnl9WlQlintZ040fIH2duwp84AVKpknYElf0xPL8HuGnsY4eHwyiuyrNdbT8W8Hkpnx6B0tiPJyTJLFSB0OoLfeUfpbEe8vS+7fBSL3NxcqlevzsCBA81O7a+//sr9999PcnIyPqYJeUXw2GOPkZaWxnfffWdehXnbbbeh1WrZsmULAAMGDCAsLIx33323zHY6I4pFVlYWgYGBNl9dum4d3HefLDdsCPv3g6+vTS/hNthTZzO5uTKixX//ye2NG71qTp1DNPYw0tOhXj1ISZEZLXfvhhYtrn+M0tkxKJ3tyKhRcvI9IJ55hqy5c5XOdsRT+7LHRLGIj48nNTWVR01xY4EuXboAEBcXV+zxkydP5oMPPrC6uaGhoeTmi7S/c+dOoqOjbWi1/TEYDOzdu9fmq0uNRuvFeFOneq9zDPbT2Qo/P+vJpK+/LofxvQSHaOxhVK5sedkghFwvUBxKZ8egdLYTJ07A/PmyHBCAYdw4pbOd8fa+fP3hVxcgKSkJgBbXDI9ERUVx5MgRbr755useX79+favtzMxMfvvtN5566ikA0tLSOHr0KPPnz2fYsGFotVp69OhBbGwsNWrUKPK8OTk55JjinyF/kQDo9Xr0ej0AWq0WrVaL0Wi0mvNsqjcYDOQfwC+q3hSD0HRewLyPEMKq3rS/aZ/8+Pj4mOMamtBoNOh0OrONK1dq2LNHHt+2LTzwgBG9vqDt9mjT9WwvT5uKq79em4AC57dLm/r3RzdzJpp9+yAuDvH11xj69LFLm1zxPuX/zlPaZO/79Oyzgrff1nHqlIbvv4c//oAOHYpuk+lcprimrtgmT7hPRZXduU3Xq3dUm5g4Ee3Vv7nG//0PIiIQSUmFPpvdpU2ufp9MPkb+79y9TUCB/YvC5R3krKwsdDodQddExA8MDOTChQulPt+cOXPIyMhg2LBhgByhFkLQtm1bpk2bRlJSEmPHjqV///5s3bq1yPNMnz6dyZMnF6jftWsXFa9O2A0LC6N+/fokJiZa2RoZGUlkZCSHDx8mLV+a4Xr16hEeHs6+ffvIysoy1zdu3JiQkBB27dplvuFCCHPn2rVrl5UN7dq1Izc3l71795rrdDod0dHRpKWlcfDgQXN9YGAgLVu2JDk5mcOHE3n99ZaA7mob4ezZJE6dOmXe355tAvlDyM/Pj/hrFquVtU0J+VYwBQcH06RJE5KSSt6mGjVqkJGRwc6dO81vIezVppAnnqDxqFEAGMeOJb56dXNML1u2ydXuU0pKCqmpqWaNPaFNjrpPgwaFMX26HAR47TV4661dGI2Ft0kIYdY5OjraZdvk7vdJCGF+Q+kpbQLn3qdL27ZRdflyAPRBQRzr14/6QHZ2ttWz2Z3a5A73KTs72+rZ7Altys3NLeAzFYXLz0H+4osvGDx4cIGIEp06daJ79+6ML0VorP3799O2bVtefvllpk+fDsgR5MTERFq1amXeb9OmTdx1113s3buX5s2bF3quwkaQo6KiSElJMc9psfcI8p49e2jdunWBuUFl/TW7eLHgxRflsV26CH75ReNyv/wc/QvdaDSyc+dOWrZsabbBbm0SAl2XLmj++EPWL1mCePJJm7fJ1e6T6YHVqlUr8/XcvU2Ouk96PbRqpePQIfkM+O47A/fea91Wk+0Gg4Hdu3fTqlUr/Pz8XLZN+W13x/tkeja3adMGjUbjEW26Xr0j2iQeeADN1bBKhmnTYMwYhBBFPpvdoU3ucJ/0ej07d+40P5s9oU0Aly5dIjQ0tNg5yC7vIG/evJkuXbqQnJxMaGioub5p06Y888wzvPzyyyU6T3Z2Nh07dkSj0bB9+/brRqjIzs4mMDCQ5cuXM8iUyrIYHL1Iz9ZkZUGDBnB1Rgvbt0OHDs61ySv5/Xe47TZZjoyUub0DApxrk8KlWb0a+veX5ZYtYedOlVRM4UHs2GH5Y1SzJhw9ChUqONcmhVvjMYv0TPGL/7g6qgZw+fJlDh8+TK1atUp8nhdeeIHExEQ+//xzK+c4MTGRffv2We178eJFAJeOg2x6XWqr3zcLFlic4z59lHNswtY6F0unTtCzpyyfOgWLFzvmuk7E4Rp7GP36WULB7tkDn39e+H5KZ8egdLYx+VegxsSYnWOls/3xdo1d3kEODg6mW7duxMbGmofLFyxYgBCCO++8s0TnmD59OsuWLWPp0qU0atTI6rsFCxbw/PPPW9UtvzrXqWPHjjZogX0wGAwcPHiwwCuEspCWJucbgwwZNXVquU/pMdhS5xKT/wa8+SZcvuy4azsBp2jsQWg0lv+/IH2IvLyC+ymdHYPS2Yb88osMewkyruHTT5u/UjrbH2/X2OUdZJCh2uLi4ujYsSMPPfQQY8eOZdiwYYSFhZGSkkJ8fHyRN3Dr1q2MHz+evn37Urt2beLj480fgKeffpr4+HgGDx7MJ598wsiRIxk/fjz9+/cvcv6xpzFnDlwdNOfRR+Gmm5xrj9fTsiUMGCDLFy7AvHnOtUfh8tx1F5jGC44dgw8/dK49CkW5uTZ+4eTJMiSmQuEg3MJBbtu2LTt27CAiIoKEhARmzpzJW1eDha9du5bo6GguFzHKtnr1aoxGI9988w3R0dFWH4AmTZqwZs0a9uzZwzPPPMPatWuZPXs2K1eudFj7nMmFC9JBBhkwoZDAHApnMGUKmLIXzZ4tM0IoFEWg0ciXDSbeeEOuK1Ao3Jbvv5eLYUCO2gwc6Fx7FF6HWzjIAM2bN+fbb78lPj6e0aNHm1cjPvHEEwghCAkJKfS4efPmmWP5Xfsxcffdd7Nnzx6ys7M5cuQIL7/8ssunVtRoNDbJbjN9Oly5IsvPPivfYiks2ErnUtOwIVyN1U16Osya5djrOxCnaexhdOgg1w+AXE9wNfGoGaWzY1A62wCj0Xr0eOpUy4DBVZTO9sfbNXb5KBbugjtGsTh5UvphOTkQGChfzdas6WyrFGauvUFHj0IpFqYqvI9//pEzdISA0FBISJBZ9xQKt2LlSnjkEVlu316OJHupk6awPR4TxUJROEajkfPnz1vFECwtU6ZI3wtg+HDlHBeGLXQuM1FR8MILspyVBdOmOd4GB+BUjT2M5s0tb6JTUmDuXMt3SmfHoHQuJ3l5MGGCZfvNNwt1jpXO9sfbNVYOsptiNBpJSEgoc8c9fBiWLpXl4GB49VUbGudBlFfncvP661CpkiwvWSKHBD0Mp2vsYUyebHkbHRtrmb6udHYMSudysmyZfFsGcuVp166F7qZ0tj/errFykL2UiRPBFPhj1CioWtW59iiKICwMTMlw9Hq1ilJRLA0aWKavX77s0dPXFZ5Gdrb1M85D35op3APlIHshe/fCqlWyHBYGL73kVHMUxfHKK1Cliix/8gns3+9cexQuT0wMmPIhvfsunDnjXHsUihKxaBGcPi3LvXuDC+ciUHg+ykF2UzQaDcHBwWVaXRoTYynnf4OvKEh5dLYZwcHw2muyLIT1/DwPwCU09jAKm76udHYMSucycvmyJVZhCTJWKZ3tj7drrKJY2Ah3iWLx11+WH+UREXKqV0CAc21SlIDMTPnu3DQUGB9vyS+sUBTC+fMybGNGBvj6wqFDULeus61SKIpg6lTL6M0jj8CKFc61R+GxqCgWHo7RaOTUqVOlnjyff/Q4JkY5x8VRVp1tToUK1nFB899IN8dlNPYwwsMt09fz8mDSJKF0dgCqP5eBS5fkilKQK0wnTSr2EKWz/fF2jZWD7KaUpeNu2QI//yzL9epZFvIoisalHhBDhkDt2rK8bh388Ydz7bERLqWxh5F/+vqnn8Lvvycrne2M6s9lIDYW0tJk+YknZPz3YlA62x9v11g5yF7CtWntJ02Sr10VboS/vww/YmLcOHljFYoiCAmxhHA0GjV88EGUU+1RKApw/jzMmyfLfn4et8ZC4b4oB9lL+Okny4Bj06aWJEUKN2PwYMvoypYtsGmTc+1RuDzDhsnpFgCbNoWyZ49z7VEorJg+XU6UB3juOctbMoXCySgH2U3RarWEhYWh1RZ/C4WA8eMt21OmFEhrryiC0ujsEHx8rOOEesAosstp7GFUrAhjx1q2J09W//ntierPpeDUKRnaDSAw0LqjFoPS2f54u8YqioWNcOUoFl99BQ8+KMtt2sgACF4atcUzMBqhZUvYt09uf/cd9OrlXJsULk12tgyCYgoxu307dOjgXJsUCoYOhffek+VXX4WZM51rj8IrUFEsPByj0cixY8eKnTxvMFhP6Zo6VTnHpaGkOjsUrRbeeMOyPX68dJrdFJfU2MMICIBx4yz6elAQFJdD9ecSkpAAH34oy0FBlsnyJUTpbH+8XWPlILspRqORCxcuFNtxV62Cf/+V5Vtuge7dHWCcB1FSnR1Onz4QHS3Le/fC6tXOtaccuKzGHsYTTxiJiMgGZDSbLVucbJCHovpzCZk8GfR6WR45EkJDS3W40tn+eLvGdneQc3NzSUxMtPdlFIUgY59atmU2LaeZo7Al12aamjDB8sdGoSgEX1946qlT5u3x491++rrCXTlwQMYdBKha1RKwW6FwIUrtIOfl5fHqq6+Smppaov2PHz9Os2bNSnsZhQ1YvlxmygPo2hU6d3aqOQpb060b3HabLB86ZPmDo1AUwT33JNO4sfSKf/8dNmxwskEK72TiRMu0sFdfheBg59qjUBRCqRfpGY1GfH19OXv2LGFhYaxfv56AgIAic3WfO3eOZ555psQOtbvi6EV6RqORpKQkatWqVegK05wcaNQITpyQ29u2wc03290sj6M4nZ3O1q1w++2yXLcuHDwoY4m6ES6vsYdg0vmPP2oxYIDUuV072LFDvVmyJao/F8Pu3dC6tSxXrw7HjslQK6VE6Wx/PFXjkvprZYpiodVquXLlChUqVECn01G1alUuXrxI1apVSU1NJSQkxLxtNBoRQnDx4sVyNcjVcbUoFgsWwP/+J8v33Qc//OBcexR25J57LEOBixfLWKIKRREYjTKajSke8jffQN++TjVJ4U307g1r18ryvHkwfLhz7VF4HQ6LYhEaGsqFCxfQarVcuHCBGjVqWG3vUVHp7YLBYODAgQMYDIYC32VlyfnGJqZMcaBhHsb1dHYZ8ke0mDpVxvRyI9xCYw/ApLMQBqsuExPj1kFQXA7Vn6/Djh0W5zgyEp59tsynUjrbH2/XuFQO8o8//siaNWvQaDQkJiaSkpJi/s40xeLaqRZFTb1QlA8hBGlpaRT2AmDRIjhzRpYfeADatnWwcR7E9XR2Gdq3t8RBPnUKlixxrj2lxC009gDy69yzpyUO8r598OWXzrXNk1D9+Trkjy84fryMP1hGlM72x9s1LpWDvHLlSu6//34AWrRoQbgpf6nCZbhyRWbuBDmvMH/SNYUHk/81wZtvQmam82xRuDwajfWLh4kTVRAUhZ3ZutUyFaxuXXjySefao1AUQ6kc5LfffpuEhASEEGzcuJHvvvvOXnYpysg770BysiwPGAA33eRcexQOolUrS7rEc+fkJHSF4jrcdZd1EJTPPnOuPQoPRgg5YmxiwgS3W0ys8D5K5SBXq1aNG264AYAOHTrQo0cP8vLy+O233xBC8Ntvv5GTk8Nvv/0GwNatW/nzzz9tbrRCLpSsV6+e1crS1FSYPdv0vXUMZEXZKExnl2XyZEs4gpkzIT3dufaUELfS2I25VudrQ2lPnixjpyvKh+rPhbBpE1z1C2jUCB57rNynVDrbH2/XuNRRLIQQ6HQ6Ll26RHBwMFqtFo1Gc10Bg4KCVBQLBzBhguW16ZNPwkcfOcUMhTMZNMgSD3nKFJVTWFEs3brBxo2yvGQJPPOMc+1ReBhCyDSu27fL7ZUr5etNhcJJ2C2KRU5ODtWrVycrK8u8bTAYyMvLK/Rz7Ngxr10BaU8MBgN79uwxa5uSAnPnyu98fJRfZCuu1dnlmTgRdDpZfustuHTJufaUALfT2E0pSuf8c5HfeEPGUFeUHdWfr+HHHy3O8U03wUMP2eS0Smf74+0al8pBXrp0KY888gjff/89NWrUAMDX1/e6xxgMBho1alR2CxWFIoQgKyvLvLp09my4fFl+N2SIXAOhKD/X6uzyNGgATzwhy2lp0kl2cdxOYzelKJ07doQePWT55El4/30nGOdBqP6cDyGsR2umTJHz/2xyaqWzvfF2jX1Ks/PZs2fZvHkza9asITo6mttNGbyuQ25uLtHR0WU2UFE8587Bu+/Ksr8/jBvnXHsUTiYmRuYZz8uTrxVGjICwMGdbpXBhpkyxJBOaNg2eegoqVHCuTQoP4JtvYNcuWW7TRmWkUbgVpfop9/rrr3Pu3Dm++uorAGJjY3nrrbf46quvOHLkyHU/CvsxY4YlqtfQoTL+usKLqVPHMpE0IwNmzXKuPQqXp00bGTMd4OxZGUtdoSgXBoNcGGPijTdUTnOFW1GmVNMmfvrpJ1566SUSEhIYO3YsEydO9NrEII5epGcK4H3lSjANGmjIyYHAQEhIgKuzXxQ2wKRzcHCwe/Xt06ehfn05oTQgQHaMmjWdbVWhuK3GbkZxOu/bBy1ayLfi1arJLhMU5ARD3RzVn6+yciU88ogsd+wI27bZ1EFWOtsfT9XYIammu3fvzt69e3n55Zf59ddfuWyaBKuwOxqNhpCQEN58U2NeVPO//ynn2NaYdHa7h0NEBDz/vCxnZ1uyx7ggbquxm1GczjfdZAkukJwsY6orSo/qz8isM/njjNph9FjpbH+8XeNyz5b38/Nj5syZbN682a4jp7GxsURFRREeHk5MTAxGo7HEx549e5Z+/foRHBxM8+bN2bJli03P7wz0ej3ffbeHDz6QLwAqVYJXX3WyUR6IXq8nLi4OvTumGXvtNctE0vfekyuwXBC31tiNKInOkyZZ1lDFxsrY6orSofozsGIFHD4sy3fcAV272vwSSmf74+0a2yz68/V+YWRnZ5fr3HPnzuXVV19lyJAhLF26lJUrVzLblBGjGAwGAz169CAuLo5ly5bx5JNP0rNnTxITE21yfmfywQc1ycuTur/0knwtqrA9bhvipnp1GDZMlnNz5eorF8VtNXYzitO5USMYPFiWU1Ph7bftb5Mn4tX9OS9PZp0xYce5x16ts4Pwao1FGcnMzBS+vr7i0qVL190vLy9PREdHi19//bVM18nJyREhISHi+eefN9f98ssvIjg4WOTl5RV7/Oeffy4A8ddff5nrBg8eLF544QWbnN9EWlqaAERaWlqJjykPBw7kCZ3OKECI4GAhLl50yGW9jry8PPHnn3+Wqi+4FMnJQgQFCQFC+PgIkZDgbIsK4PYauwkl1TkhQXYVkF0nOdlBBnoIXt+f33tPdh4Qols3u13G63V2AJ6qcUn9tTKPIAcGBqLX62nfvj233347jz/+ODNnzuT3338nNzfXvN/IkSPZv38/Ncu4QCg+Pp7U1FQeffRRc12XLl0AiIuLK/b4jRs30qBBA9q3b2+u69u3Lxuvpo4q7/mdxRtvaDEY5K/yV16BKlWcbJDCNQkNla8XQM4LnDLFqeYoXJ+6dWWYN5Cx1WNjnWuPwo3IybHOX54/C41CUQiXLsHCha6ZoKhUcZALY9y4cVy6dImkpCT+/PNP3n77bbKzs3n66acRQvD++++zatUqbrzxxjKdPykpCYAWLVpY1UdFRXHkyBFuvvnmYo+/9tjatWuTkJCAwWAo8/lzcnLIyXdH09PTATlnxzRfR6vVotVqMRqNVnOaTfUGg8EqAHdR9TqdDo1GYz7vv//CypUyW1poqODFFw3knyKku5pJ7dpXIz4+PgghrOo1Gg06na6AjUXV26tNxdnurDbpdDqaNWuGEKLAfXWbNg0fju7dd9GkpiKWL0fz+usY6td3mfuk0WisNFZ9zz5tEkKYdTYdW1SbXnvNwLJlOnJzNbzzjuDllzVUq+Z6bSpJvaPvkxCCm266CZ1O5zFtul59/jZpFi9Gd3Wtg+jRA9q3x1DCtpalTTfddFOhz2Zv7Xu2bpNWqy3w98/WbZo9G6ZP1zJzpuDjjwWdO9v/PpV0TnWpHeT9+/fTrFkzQDa+f//+VLgmovzUqVOZMGECGo2GhQsX0qdPn9JexkxWVhY6nY6ga+INBQYGcuHChRIdX+Oa0A6m0e/U1NQyn3/69OlMzj/P6iq7du2iYsWKAISFhVG/fn0SExOtzhUZGUlkZCSHDx8mLS3NXF+vXj3Cw8PZt2+fOZU3QOPGjQkJCWHXrl0YDAamTKmPEDLxwyuvGDl8ON7Khnbt2pGbm8vevXvNdTqdjujoaNLS0jh48KBVO1u2bElycjIJCQnm+uDgYJo0aUJSUhKnTp0y19urTSZatGiBn58f8fGu0aaIiAhOnDhhFaHFHdtU6+GHqf3ee2iMRpg8mcPjx7vcfTKtY1B9z35tEkKg0WiKbdO5cwfp06cOX35Zk8xMDTNmwGuvuWabXPE+1alTh4oVK3pUm4q7T3v+/JPmb7zB1UT3ZL/+Or4Gg93a1LhxY1JSUjhz5ozd2uSJ96k0bcrJyWHfvn3mZ7Ot2xQff5x582oDkJQkCAg4B9S0+33aZUpeUwylioN8/Phx6tatS7169bjvvvtYsGAB586dw8/Pjz179rBlyxbWrFnD4cOHefLJJ/Hz82PlypVs376diIiIkl7Gii+++ILBgwcXWOjXqVMnunfvzvjx4697/H333UdUVBTvvfeeue7o0aM0bNiQkydPsm3btjKdv7AR5KioKFJSUszRPOz1y+/iRZlBeMUKPfv26ahUyXoBhKf+mnVGm4xGI3FxcbRp08Zsg1u26fJldA0boklJAY0Gw+7diKZNC+zvjDbl5uby999/mzVWfc8+bTIYDOzcuZM2bdrg5+dXbJvOnIFGjXRkZ2sICIAjR4zUqOFabSpJvaPvk0nn6OhoNBqNR7TpevWmNhlmz0Z3NZSS8f770VxNKGavNgkhinw2e2vfs3Wb9Ho98fHxVhrbsk2jRgneekv6L889Z2ThQhxyny5dukRoaGixcZBLNYJco0YN/vjjD3bt2sWmTZuoXLkykZGR5OXlERISwn333cewYcPo27ev+aKnTp1iwIABbN26tTSXMhMeHk5OTg4pKSmEhoaa6y9evGgeqS3ueNM0ivzHAlSsWLHM5/f398ff379AvY+PDz4+1rKabu61mG5WSetN5w0Ph2nT9PTqtZtKldoVuN61++dHo9EUWl+UjaWtL2ubylNvzzYZjUbzf/Jrr+FWbapSBcaMkbEAhUA3ZQqsXl1gf2e1qTCNvb3vge3blH9aS1H7m9oUFQUvvih/jGdnw4wZWubPd702laTe0fcp/4hbeW0vqt6l+t6VK+hMkZ80GrRTppgjV9irTfmnY9n7b2556l3qPhVhY1H1Go2mUI1t0aazZ2HhQtlH/P0hJkaLaRdn3KfCKNUiPX9/f5o1a8YLL7zAhAkTmD59Op9//jm9e/cmLS2NgIAABg8ebHaOc3NzefPNNzl06BArVqwozaXMtG7dGj8/P/744w9z3eXLlzl8+DC1atUq9viOHTvy119/Wf3C+PvvvwkMDCQkJKTc53cmJbzHCoXkxRdl6DeAr76C3budao7C9RkzBkzjBO+/DydOONcehYvyzjtgev3/8MMy64xCcR2mTwfTbInnn5e5rVyNUkexaNu2LQMGDGDt2rV89dVX9OnTh6ZNmzJjxgx69+5N/fr1GT9+PBcuXOCDDz7gueeeY9KkSURFRZXJwODgYLp160ZsbKx5uHzBggUIIbjzzjuLPf6BBx4gJSWFjz76CJBO++LFi+natSsajabc51co3IYKFWDsWMv2hAnOs0XhFoSFwYgRspybax2gQKEAIC3NEupEq7XOoKdQFMLJk7B4sSxXqCBzWrkk1w0CVwinT58WY8aMEaNHjxbdu3cXEyZMEE2aNBFHjx4Ver1eaDQacdddd4mgoCBRvXp1sWLFitJeogDx8fEiICBAtGvXTvTv319oNBoxYsQIIYQQycnJIi4uTuj1+iKPHz16tPD19RUPPfSQaNmypfDx8RFxcXElOn9JcXQcZKPRKPLy8oTRaHTI9bwVj9M5K0uIyEhLnNJ88cGdhcdp7KKUVeeUFCEqV5bdRacT4uhROxnoIXhdf5440fI8efxxh13W63R2AvbS+LnnLF1mzBibnrpE2CUOcmJiIt9//z2NGzcmKyuLpKQkNBoNTz31FMeOHQPk3JQffviBFStWcP78eXbs2FFuJ75t27bs2LGDiIgIEhISmDlzJm+99RYAa9euJTo62irKwLXMmjWLhQsXcvz4ccLCwtiyZQvt2rUr0fldmfzxphX2w6N0DgiAceMs2zExzrMlHx6lsQtTFp2rVpWx1gEMBlQo7RLgNf05JQXmzJFlHx+Hv5XyGp2diK01TkyEDz+U5aAgGD3apqe3LaXxujdu3CgaN24sWrRoIerVqye0Wq2IiIgQrVu3FoMHDxadO3cWWq1W5OTkiK+//lrceuutonbt2uKHH34ol7fvDjh6BNlTM9y4Gh6pc06OEDfcYPkJv3WrU83xSI1dkPLonJYmRNWqsrtotUIcOGAHAz0Er+rPr71meY48+6xDL+1VOjsJe2j85JOWLhMTY7PTlgq7jCB37dqVAwcOsHjxYmbOnElwcDBZWVm8++67TJ06laioKIQQtG/fnkWLFvHQQw/x7rvv8urV0C8KhcIF8POzHukZP14+rxSKIqhc2TLSYzSqaaYK4Px5uTgP5DOlmJCrCsWRI7B8uSyHhMDIkU41p1hKvUhv2rRp9OrVi2PHjtGmTRsWL15M7969ycrKYsmSJQAMGTKEQ4cO0bVrV3r37k1eXh4//fSTzY1XKBRlZNAgaNhQlrdsgV9+ca49Cpdn2DAZYhLg888hX04EhTcyYwZkZsryc89BGRfiK7yHyZPlNC2AUaOkk+zKlNpBzs7ONs/XzcnJoX///jz33HM89dRT5OXlATB48GAOHTpkzrjXv39/9u3bZ1vLFUXGBFTYFo/U2cfHehgwJsapo8geqbELUh6dK1a0Xm0+caINDPJQPL4/JyXBokWyHBAAr7/uFDM8XmcXwFYa//svfPaZLIeGwvDhNjmtXSlVJr38ZGVlkZGRQbVq1cjOzmbnzp20b9+eH374gfvuuw9fX1/zvhcvXqRq1ao2M9oVSU9PJzg4uNjMLAqFy2AwQMuWsH+/3P7xR7j3XufapHBpsrKgQQPpHwHEx0Pbts61SeEE/vc/WLBAlkeNAlOSEIWiCPr3t+SmmjXLuYvzSuqvldlBVljjaAdZCEFaWhrBwcHmrE0K2+PxOn/1FTz4oCy3bQtxceYMWI7C4zV2EWyl88KFMucMyN9TP/5oIwM9BI/vz8ePy+lZeXnytUJiogyY7WA8XmcXwFYa79oFbdrIco0acOyYjH/sLErqr5V6isW///5Lpmne0VUmTJjAbbfdxp133lnop3PnznTo0KH0rVAUicFg4ODBgwVyjStsi8frfP/90KqVLP/9N3z7rcNN8HiNXQRb6fz001CnjiyvWwfbttnAOA/C4/vz1KnSOQaZRcYJzjF4gc4ugK00zr8mfOxY5zrHpaHUDnLz5s2ZNm2aVV39+vW5/fbbufPOO+natavVJzo6mt9++40+ffrYzGiFQmEjtFp44w3L9oQJMkyBQlEE/v7W4bNdJJS2whEcPQpLl8py5cqWANkKRRFs3w7ffy/LUVHw7LPOtac0lNpBFkKwcOFCLl26BMD06dOpUqUK06ZNY/z48YwbN44qVapw8uRJxo0bx7Bhw9BoNIzNn+JWoVC4Dj16gOkNz7598MUXzrVH4fIMHiznIoMMgPLrr861R+Egrg1D4OFrixTl59of0/7+zrOltJTaQQYICwvjzTffxGg0sn//foYMGcKJEycAWLVqFcOHDzdHsFBzg+yDRqMhMDBQ6WtnvEJnjUa+NjUxcSLo9Q68vBdo7ALYUmdfX+soFk4OguJSeGx//vdfWLFClkND5fQKJ+KxOrsQ5dV4yxbYuFGW69WDJ56wnW2OoNSL9LRaLV9++SWDBg3i0KFDREZG0q9fP3x9fRk+fDhdu3Zl3rx5PPfccwCcPn2a2rVre/w8IRXFQuHWCAFdusgnGsjXqO72NFM4FIMBmjeHAwfk9rp10L27c21S2BFXCkOgcHmEgDvugK1b5fby5TL8vitgtygWOp2OM2fOMGjQICIiIliwYAFZWVkA5OTk8MMPP/DII4/g6+uLr6+vcpDthNFoJDk5mWrVqqHVlulFgKIEeJXOW7fC7bfL8g03wKFDMkOWnfEqjZ2IPXRevVr6TeC0ICguh0f25/xhCKpXh4QEp6+08kidXYzyaLxhA9xzjyw3bixn77lK2Gq7RbEw+dOjRo1i2bJlVKpUibCwMMLCwoiMjOTZZ58lKCiIChUq8Oijj5a9BYrrYjQaSUhIwKgWVNkVr9L5ttssT7T//oOPPnLIZb1KYydiD50feMDpQVBcDo/sz/nDEIwb53TnGDxUZxejrBoLYZ15fPJk13GOS0OZf3Z169aN+Ph4Dh8+TEJCgvmTmJhIQkIC77//PqtWreLIkSO2tFehUNiT/BEt3nhDZoZQKIpAq7Wevh4TY1nDpfAQ3DkMgcIprF0r3yYBtGhhCbXvbpTrvUSbNm244YYbmDRpEocOHUIIQdeuXdFqtfTt25cePXqgd+BiH4VCUU6io6FvX1lOSoL33nOqOQrX5777oGNHWd6/XwVB8TjyhyGYMMG9whAoHI7RaN1l3nhD/pB2R8plthCCRx99lN9++426detyww038NBDDzF48GBCQkL47rvvaNKkia1sVeRDo9GoDEIOwCt1njLFMpF0+nS4csWul/NKjZ2AvXR2chAUl8Oj+vPmzZYwBPXrw+OPO9Wc/HiUzi5KWTT+8kvYu1eWo6OhVy87GecASuUgG41GNBqNeT7Ktm3b+OOPP/jll19o2LAhAJMmTSIpKYkpU6bY3lqFGZ1OR5MmTdC548QeN8IrdW7eHB5+WJbPn4f58+16Oa/U2AnYU+c774TOnWX5yBG5Yt1b8Zj+LIT1UOCkSTK+n4vgMTq7MKXVWK+3nq4+dap7L9otlYOck5ODEIK8q2kmb731Vo4dO4avry8JCQmcOHGCs2fPMm3aNHr16sWJEyc4deqUXQz3doxGI6dOnVILFOyM1+o8aZLlvdisWZCaardLea3GDsaeOl87ijx5MuTk2PwyboHH9Of16+H332W5SRMYONC59lyDx+jswpRW408+gcOHZfn226FbNzsa5wBK5SD7+fnx5ZdfEhoaalU3ZswYGjRoQN26dalbty4PPfQQ7dq1o27dutx88802N1qhHg6Owmt1vvFGmS4N4NIlmDPHbpfyWo0djL11vvVWuPdeWT5xAj74wC6XcXk8oj+7QRgCj9DZxSmNxrm5spuYmDbNvUePoZQOsk6no1+/flS4JsTLrFmzOHbsGImJiRw/fpyTJ09y/Phxjh8/TmJiIgcPHrSp0QqFwgFMmGB5pfr223DhgnPtUbg8+YOgTJ0KmZnOs0VRDr75RsbtAxnHr18/p5qjcH0++ACOH5fl7t2hUyfn2mMLbLK2sGbNmtStW5fatWsTGRlJREQEkZGRREZGUqdOHfP8ZIVC4UbUrQvPPCPLV67AjBnOtUfh8rRtC/ffL8tnz8LChc61R1EGDAbr0eNp09w3DIHCIWRmWk+xyl92Z1Svd1O0Wi1hYWEqg5Cd8Xqdx42DgABZXrAATp+2+SW8XmMH4Sid8wdBmTED0tPtejmXw+3782efWfKH33KLZd6Mi+H2OrsBJdV44UI4c0aW779f/lD2BEqdalpROI5ONa1QOIzRoyE2VpaHDoVFi5xrj8LleewxWLFClidNkqHfFG5AXp7MC5yQILd//dUSnkShKIT0dKhXD1JS5A/jf/6BZs2cbdX1sVuqaYVrYDQaOXbsmFqgYGeUzsCYMRAUJMsffGD542kjlMaOwZE6T5oEPj6y/NZb8o+nt+DW/fmjjyz/v++6y6WdY7fW2U0oicZz51r+fz/yiOs7x6VBOchuitFo5MKFC+rhYGeUzkC1avDyy7Ks10vvx4YojR2DI3Vu0ACeflqWL1+GmTPtfkmXwW37c1aWnB9jYto059lSAtxWZzeiOI0vXpQ/gEEGObHxnwanoxxkhUJRPCNHQtWqsvzpp/Dvv861R+HyxMRYshK/+67MXK5wYRYtstykPn2gfXvn2qNweWbNsqwxeOop+cPYk1AOskKhKJ7gYDnVAmSM1PzpkhSKQoiIgBdflOXsbM9Z2e6RXL4s08qDnEiaP16fQlEIZ87AO+/Isp+fddJFT0E5yG6KVqslMjJSreC1M0rnfPzvf1Cjhix/9ZUlTmo5URo7Bmfo/NprUKmSLL//vs2nr7skbtmf582D5GRZHjBAppt3cdxSZzfjehpPnSpn5QC88AJERTnYOAegoljYCBXFQuEVzJ8Pw4bJcvfusG6dc+1RuDwTJ1qmtg4eDB9/7Fx7FNdw8aIMQ5CWJieSHjgAKneB4jokJMhkq3q9/AGckABhYc62quSoKBYejsFg4MCBAxgMBmeb4tEona/hmWegTh1Z/ukn+O23cp9SaewYnKVz/unrn3zi+dPX3a4/z5wpnWOAJ55wG+fY7XR2Q4rSeNIk6RyDXL/tTs5xaVAOspsihCAtLQ31AsC+KJ2vwd/feqny66/LOcnlQGnsGJyls7dNX3er/pyUZJlI6u/vVgGr3UpnN6Uwjffvl+u0Qf7wfeUVJxnnAJSDrFAoSsegQdCkiSxv2wY//OBcexQuz7XT1+PjnWuP4ipvvCFXUILnTiRV2JTx4y1jIq+9Jn8Aeypu4SDv2LGDjh07EhQUxN13383JkydLdXxKSgoDBw6kcuXK/L+9O4+Lqur/AP65MyMEiGAIGiKKSO64Qa5PLo9Lpv60AstSS9NSe3LP3JVccUlLbdVSW0yzpzJtUbO0RyvZFMhdcEFKEGRRkWXu/f1xvLMIKMvcdb7v14vX6947w8w533sYzpx77ve4uLigR48euHDhgt1z/P39wXGc3c97773nwFoQohNGo31KgtmzAcpFSu7B3d3+LvfZs5UrC7nj/Hm28A/AJpLOmqVseYjq/fkn8M03bNvfn33x1TPVd5AvXLiAvn37wsPDAzt37kT9+vUxYMAAFBcXV/g1hg4dikOHDmH+/PlYsWIFkpKSEBERYXn86tWr+Pvvv7F7927ExMRYfp566ikpquQQBoMBjRs3pjt4JUZxLscTTwDh4Ww7KQnYtq3KL0UxlofScR4zBggKYtv79gE//6xIMSSndJwrbP5860TSadM0N5FUM3HWsLtjPGeO9bF58wA3N4UKJhPVZ7GYMGECdu7cidTUVHh4eMBsNiMkJATR0dGIjIy87+/v378fQ4YMQXJyMho1agQA2LRpE8aMGYOUlBQEBQXhxx9/xNChQ5GbmwuO46pUTspiQZzO/v1Anz5su3Fjdve7i4uyZSKq9tlnwPDhbPuRR4A//mBpd4nMEhOBtm3ZtXIfH5aGgP5vkXv4+We2+jjAPu5PnQJq1FC2TFWlmywW+/fvx+DBg+Hh4QEAMBqNGDRoEPbv31+h3w8PD8fRo0ctnWMA8PHxAQAUFRUBAOLj4xEWFlblzrESzGYzjh8/TnfwSozifA+9ewO9erHtlBRg06YqvQzFWB5qiPOwYdYUu0ePWi/X6oka4nxfc+ZYJ5LOnq3JzrEm4qxxYoxLSsx206LeeEO7nePKMCldAJ7ny13nm+M4pKenIzQ01O54YGAg9lTwxiAvLy943TWL/IcffoCvry9C7qSziYuLw8WLF9GoUSNcvXoVrVu3xqJFi9CvX79yX7ewsBCFhYWW/bw76y2WlJSg5M5lK4PBAIPBUKqO4nGz2Wx3d2h5x41GIziOs7wuwBrurVu3wPN8qbt4jUaj5Tm2TCYTBEGwO85xHIxGY6kylndcyjrdq+xK1UkQBNy6dQslJSWW8mu9Tg49T4sWwXTgAABAWLSIJbp1d69UncS2LMZY8Trp8TyZzXZxFi+ZKlGnRYvMGDKElWvOHAEDBwqoUUM/50mMs/ieqqvT4cMw7d7NHgwIAD9uHHib8mjl7+len830GeGYOvE8j1u3buHrr3kcPcqe17o18MwzAkpKtFknAKWeXx7FO8ijR4/GlnIyx3fv3h0FBQWoXbu23XE3NzdkZmZW6f1SUlKwefNmLFy40PJP4ujRo/Dz88OMGTPg7e2N9evXY9CgQUhMTESzZs3KfJ1ly5YhKiqq1PGEhATLaLevry+Cg4ORmppqV96AgAAEBATgzJkzyBXzTwJo3Lgx/Pz8kJycjAJxiRoAzZo1g7e3NxISEiwnXBAES+NKSEiwK0NYWBiKioqQmJhoOWY0GhEeHo7c3FycOnXKctzNzQ1t2rTBtWvXkGKzzJWXlxeaN2+O9PR0pKWlWY5LWScACA0NhYuLC2Lvus1dqTrVq1cPN2/eRHx8vOUKg9br5NDzZDDg4e7d8eDBg+D+/hvmt99G4aRJlapTVlYWcnJyLDFWvE56PE+xsRAEwRLn8PBwxeoUEnIGrVsHICnJEydPcnj33XxMnFhLN+dJEATL1UnV1enyZbSYPBmW8eKFC5H699+a/HsKCQnB7du37T6b6TPCsXW6ffs2srJyMWNGMQA2ZLx4MZCfr906FRUVleozlUfxOciXLl1CdnZ2mY/VrFkToaGh2LRpE4YNG2Y5vnHjRixfvhznzp2r1HvxPI+ePXsiLS0NSUlJcHd3B8CmWISEhMDT0xMA+3YREhKCJ598EqtXry7ztcoaQW7QoAGysrIsc1qkHkEub2qIXr/NKlEnnucRExOD9u3bW8qg9To5/DydOAFju3bgeB5C7drA+fMw3/lbqkidioqKEBcXZ4mxKupUgeNaO0/iZ0b79u3hcmeuuFJ1+u03AT17svGZwEABp09zqFFDH+dJjHN4eLhlpFMtdRJ++AHGgQMBAELTpuCSk8Hfqde96nSv40qOIJf32UyfEY6pU0lJCRYuvIilS5sAADp3FnD4MAdAu3UCgOvXr8PHx+f+94wJKtewYUNh1apVdseio6OF0NDQSr/W0qVLBaPRKBw+fPi+z3366aeFXr16Vfi1c3NzBQBCbm5upctVFTzPC9evXxd4npfl/ZwVxbmCnn9eENisRkGYNatSv0oxlofa4ty/v7XJrFmjdGkcR21xtjCbBaFdO2vQd+xQukTVoto468itW7zg72+2NJlDh5QukWNUtL+m+pv0OnXqhMOHD9sdi4uLg7+/f6Ve58CBA5g3bx6WLFmCLl26WI7fvHkTB+7MobSVnZ2N22ICdRXiOA7e3t6aurFQiyjOFbRwoTWDxdq1bIWuCqIYy0NtcV661Lq9ZAmQn69cWRxJbXG22L4dEC8tt28PqDiNaUWoNs468s47HNLTWTfx8ceBf/1L4QLJTPUd5IiICOzZswdJSUkAWF7kXbt2obeYb6QCTpw4gYiICAwcOBAzZsyweyw1NRW9e/fG2bNnLccuXLiA3377DZ06dXJMJSRQUlKCmJiYCk82J1VDca6gRo2A8ePZdkEBUMb8/PJQjOWhtji3bcuyWgDAtWvAm28qWhyHUVucAQBFRWwJNNHy5YBB9f/+70mVcdaR3Fxg6VI2nYHjBCxbpnCBFKD6v5AhQ4YgLCwMPXr0wAsvvIAuXbrA19cXY8eOtTwnNjYWGRkZZf5+cXExIiIiwHEcJk2ahLi4OMTGxiI2NhZZWVlo1aoVHn30UQwePBjvv/8+1q1bhx49esDDwwOTJ0+WqZZVQ+lt5EFxrqA5cwBx7vGmTcDp0xX+VYqxPNQW5zfeAEx3bhVftQoo52Ncc9QWZ3zwAUvFCLD0jGL+co1TXZx1ZOVKIDubjc4PGybgrmRiTkH1HWSTyYR9+/ZhzJgxSExMRM+ePXHkyBG7idXh4eH4/PPPy/z95ORknDx5EtnZ2ejVqxfCw8MtP9999x0AYMeOHWjVqhWmT5+OhQsXomvXrkhMTEQDWpeekIrz9QVee41tm832yy4RUoYmTQBxrOPGDfsVzImD5OezbyKi5cuVKwvRhL//BtasYdsmE4+FC8tOxat3iqd5qwh3d3dER0cjOjq6zMeFeyTiaNeu3T0fBwA/Pz/s2LGjWmUkhACYMgXYsAG4ehX46iu2GsQjjyhdKqJi8+cDW7YAt24B770HTJoEBAcrXSodefNNQEylNXQo0KGDsuUhqrdoEft7BIAnn7yKoCBtLUPuKIqnedMLuZeaFgQBBQUFcHNzo5sUJERxroJ33gFeeYVt9+gBHDhwz/WEKcbyUHOc589n/5QBNi+5nAuCmqCqOGdksG8bN26wuSwnTgB3FsjSOlXFWUfOnQOaNwdKSoCaNQUkJRWgYUN9xVg3S02T8om5TIm0KM6VNHYsu3YOAL/+Cvz0031/hWIsD7XGefp0oE4dtr1tGxAfr2x5qks1cV68mHWOAfZ3qZPOsUg1cdaRefNY5xgApk4FAgKcN8bUQdYos9mM2NhYuklBYhTnKqhRw34y6cyZAF/+HDaKsTzUHOdatdg/ZtHMmcqVpbpUE+eUFDZnBQDc3dkwvY6oJs46EhcHfPEF2/b1BSZPdu4YUweZEOJ4kZHWuY7Hj1s/dQkpx8svA0FBbHvfPvZDqmH+fKC4mG1PnQrUq6dseYiqCQJgmwV37lxrUiJnRR1kQojjGQz2d8vPnQvYLM1OyN1cXSt14YHcy7FjwGefsW0fH2t2GULK8dNP7HYRAGjcGBg3TtnyqAF1kAkh0rDNt5qaar3cS0g5nnkGaNeObcfHs8XfSBW8/rp1e+5cNoeFkHKYzfajx0uXWhdGdWaUxcJBlMhiYTabYTQadXV3qdpQnKspIYEtawsADz4InD8PeHvbPYViLA+txHnfPqBvX7YdFAScOqWtf9aKx3nvXqBfP7bdqBELoKur/OWQmOJx1pHNm4FRo9h2eDjwxx/sIqBeY0xZLJxAUVGR0kVwChTnamjXDhg+nG1nZ5e7SAHFWB5aiHOfPuziA6DdCw+KxbmsoUAddo5FWmjPaldQYH+D7IoV9quQO3OMqYOsUWazGYmJiU57d6lcKM4OsHix9Z/02rXApUt2D1OM5aGlONt+j3rjDSAnR7GiVJqicf70U3ZTLMBukn36afnLIBMttWc1e/ttIC2NbQ8YwFLXi5w9xtRBJoRIq2FDYOJEtl1YaD9cQUgZOnQAnn2WbWdl0erIFVJQwOYbi1atsh8KJOQuWVnAsmVs++77qgl1kAkhcpg1C6hdm21/8gm7y56Qe1iyxP7Cw8WLihZH/d56yzoUOHCg/VAgIWVYsgTIzWXbo0YBrVopWx61oQ6yhhmNRqWL4BQozg5Qu7Z15PjuhJugGMtFS3Fu1Mj+woPt4KjayR7nzEz7ocDoaHnfXyFaas9qk5oKrF/Ptt3cgKiosp/nzDGmLBYOIncWC0I0p7AQaN6cfTIDLPGmmK6AkDLk5ADBwez+ToCt9CUmRSE2Jk1ik0kBtqT0Bx8oWx6ies8+y5Z1B4DZs9losrOgLBY6JwgCcnJyQN9vpEVxdiBXV3ZXvei11wCzmWIsEy3G2dvbfoXk6dPZBQg1kz3O584B77zDtt3dyx8K1Bkttme1OHrU2jn28Sl1Qc/C2WNMHWSNMpvNOHXqlNPeXSoXirODDR0KhIWx7cRE4NNPKcYy0Wqcx49no8gA8MsvwPffK1ue+5E9zrNnAyUlbHv6dOChh+R5X4VptT0rTRDYyuOihQsBL6+yn+vsMaYOMiFEPgYDsHKldX/OHODWLeXKQ1TPxcX+7vrXXrP2B53e778DX37Jtv38WAeZkHv473+Bw4fZdtOmwMsvK1seNaMOMiFEXj16sLvsAeDKFXBr1ihaHKJ+Tz0FdO7Mtk+eBD76SNnyqIIgAFOmWPejogBPT+XKQ1SvsNB+OsXKlUCNGsqVR+2og6xRHMfBzc1NV8s/qhHFWSIrVwImEwDAsGIFPPPzKcYS03Jb5jiW1lc0fz6Qn69cee5Ftjhv3w78+SfbbtECGDNG2vdTGS23Z6Vs2ACkpLDtnj2t4xTlcfYYUxYLB6EsFoRU0sSJwLp1bHvUKBoWJPcVEQF89RXbnjOHLdLolAoKgGbNrKtS/vAD8NhjypaJqFpWFtCkCcsMw3EsI0y7dkqXShmUxULneJ5HRkYGeJ5Xuii6RnGW0IIFLE0BAGHzZvBxccqWR+f00Jajo62XhFevLrVquSrIEmfbJdsfe8wpO8d6aM9yWrTIumT7889XrHPs7DGmDrJG8TyPlJQUp224cqE4S8jHx7J4CCcIwLRp6s/hpWF6aMvBwSzlLwDcvg3MnKlsecoieZyvXrWmSzQY7OeeOBE9tGe5nDnDplcALBNgRa+8OHuMqYNMCFHOf/4DoUkTAIDh4EFg1y6FC0TUbu5coE4dtr1tG0vk4FTmzQNu3GDbL70EtGypbHmI6r3+un0mwPr1lS2PVlAHmRCiHBcX8OISuQD79C4qUq48RPW8vIA33rDuT5kCOM0AV2IisGkT2/b0dJpFQUjVHToEfPMN237oIZYmkVQMdZA1iuM4eHl5Oe3dpXKhOMtgyBDcFBcPsV0VjDiUntry2LHWgdM//wS++ELZ8tiSLM7iNCTx28CcOSz3sZPSU3uWitkMTJ5s3V+8GKhZs+K/7+wxpiwWDkJZLAiphrg4IDycdQJq12Yd5QcfVLpURMX27gX69WPbAQHA6dNsfqVuff89MGAA227UiCWEfuABRYtE1G3jRvZlEgDatgViYwGjUdEiqQJlsdA5nueRlpbmtJPn5UJxlh7P80irWxfCiBHswPXrbP1T4lB6a8t9+wKPP86209JYVgs1kCTOxcVs9FgUHe30nWO9tWdHy81lFxlEb71V+c6xs8eYOsga5ewNVy4UZ+mJMTa/8YZ1CPCdd4DkZGULpjN6bMurVln/6S9fDqSnK1seQKI4r18PnDrFtrt0ASIjHffaGqXH9uxIixcDGRlsOzISePTRyr+Gs8eYOsiEEHWoXx+YNYtti5PnaAYYuYfmzYEJE9j2rVvA7NnKlkcSGRnWKyocx4YCnXROKKmYs2dZMwHYhYYVK5Qtj1ZRB5kQoh7TprH5lQDw88/W268JKceCBWzaOgBs2WJdfVk35swB8vLY9qhRgHhDKyHlmDaNzcoBWGIg8SOVVA51kDXKYDDA19cXBgOdQilRnKVnF2M3N/vJpNOmsRUhSLXptS37+NhPWX/1VWXTvjk0zvHx1rRutWpZFwghum3P1fXTT8B337Ht+vWrt5iOs8dYE7U+evQoOnXqBE9PT/Tt2xeXL1+u1O/v3bsXHMeV+rlt84+3uu8hN4PBgODgYKdtuHKhOEuvVIyfeALo1Yttp6YCb76pXOF0RM9tecIEa9q3mBg2kqwUh8VZEICJE63TjObPB+rWrX4BdULP7bmqiotZXnBRdDTg4VH113P2GKu+1hcuXEDfvn3h4eGBnTt3on79+hgwYACKxesHFZCQkIDw8HDExMTY/bi6ujrsPeTG8zzOnz/vtJPn5UJxll6pGIvzLMW7r5YuBa5cUa6AOqHntmwyAW+/bd2fOZPdxa8Eh8X5iy+Aw4fZdtOmbGicWOi5PVfVe++x7H8A0KkT8Oyz1Xs9Z4+x6jvIK1asgIuLC3bt2oV+/fph48aNuHHjBr6pxNzEhIQEdOzYEWFhYXY/YvJrR7yH3HieR2ZmptM2XLlQnKVXZoxbtQLGj2fbN2+ytVJJtei9LffqBUREsO2MDOUWmXNInG/etF/ybM0awMWl+oXTEb2358rKymLz8UWOuJfT2WOs+g7y/v37MXjwYHjcuU5gNBoxaNAg7N+/v8KvER8fj/DwcEnfgxDiYFFR1sVCPvsMOHJE2fIQ1Vu1ik1jB4B164ATJ5QtT5UtX269avL440D//sqWh6je7NkshTwAjBwJPPKIsuXRA8U7yDzPo6SkpMwfs9mM9PR0hIaG2v1OYGAgzp49W6HXz83Nxblz57B+/Xp4eXmhdu3aGD58OP755x/Lc6r7HoQQCTz4ILBokXV/4kRl774iqtewofWmpJISYNIkDWYKTE0FVq5k2zVqsNFjQu4hNhb48EO27enJvl+R6jMpXYDRo0djSzl3VHTv3h0FBQWoLebwucPNzQ2ZmZkVev3Y2FgIgoAOHTpgyZIlSE9Px+zZsxEZGYnffvsNAKr0HoWFhSgsLLTs591JwyN27gE2wd1gMIDnebtLFOJxs9kM25W+yztuNBrBcZzldQH2xaJ+/fqljovPBwCz2Wx33GQyQRAEu+Mcx8FoNJYqY3nHpazTvcquZJ38/f0tX+T0Uic1nScAdjG2q9Po0TC++y645GS2HPXGjeDHjFF9ndR4nniet8RZ/F2t16ms41OmmPHRR0ZcvMhh/37g22+BwYPlq5P42VzVOhmmTIHhzv8WYeJEICQE5ruer4fzVN22ZzAYUL9+/TI/m7Vap6qcp+JiMyZMMEAQ2HyKBQt4PPSQY+rEcVyp/396aHt3P788ineQ33jjDUyePLnMx2rWrInQ0FBLpUQuLi4oKCio0OuHhYUhISEBbdu2tRwLCAhA7969kZSUhNatW8PV1bXS77Fs2TJElTHJLSEhwTJVw9fXF8HBwUhNTbXrbAcEBCAgIABnzpxBrs2dJI0bN4afnx+Sk5Pt3rtZs2bw9vZGQkKC3QkPDQ2FIAiIjY0tVeeioiIkJiZajhmNRoSHhyM3NxenxBWZwL4ItGnTBteuXUNKSorluJeXF5o3b4709HSkpaVZjstRJxcXF1XV6ebNm4iPj9dVndR0nrKzs5Geno70O8ug3V0nz/Hj0fKVV9gvzZqFi+3a4apNWdRYJzWfp/T0dN3VCbCep7/+SsS4cbUxa1ZTAOyu/o4dc3Hxorx1MhgMOH78eKXqdO7tt9Hs228BAEUPPgjD7NkoKijQ5XlyRJ04jrP7bNZDnSp7npYvz0BMzEN36nMLzzxzA4Dj6mT72ayXtpeQkICK4ATb7rgKNWrUCK+++iqm2axDv2LFCnz22Wc4fvx4lV7z9u3bcHNzw9atWzFixIgqvUdZI8gNGjRAVlYWatWqBUD6EeRz587h4YcfLlU2vYx4qaFOgiDg1KlTCAkJsaS60Xqd1HaeiouLcebMGUuMy6qTYcQIGL74AgAgjBkD87vvqrpOajxPPM/j7NmzCAkJQY0aNXRRp/KOCwLw2GMGHDjA/mYXLBAwd658I8jnzp1D06asg17hOt2+DbRqBe5OB8O8ZQsMI0aUWVe9nKfq1AkATp8+jSZNmpT6bNZqnSp7nnJyDHj4YQFZWSwe+/eb0bMn57A6mc1mnD592u7/nx7a3vXr1+Hj44Pc3FxLf60sio8g30+nTp1w+PBhu85rXFwc/P39K/T7qampuHnzJlq1amU5lp2dDQCWPMhVeQ9XV1dLmjhbJpMJJpN9WMWTe7e7R63vd9z2dUtKSizTOu5+v7KeL+I4rszj5ZWxsserU6eqHpeyTiUlJcjPz4fBYCj1HlqtE6Cu88RxXJkxtiv7m28Ce/YA+fngNm2CacwYoGNH1dZJjefJti2LHQyt1+lex9etA0JD2arly5dzGDHChODg6pW9InUSP5sFQahc2VesAMTRt+7dYRwxwpKGQM/nyVZl6iTGuazPZq3WqbLH586FpXP8zDPAv/9trYej6lTWZ7Me215ZFL9J734iIiKwZ88eJCUlAWA5i3ft2oXevXtX6Pc3bNiA8WK6qDu2bt0KgHWMHfEehBCJPfQQ8MYbbFsQ2MoQd40OEGKrRQvrogmFhfZrbqhOSgqwbBnbNpmADRuqn6OL6Fp8PMt7DAA1a7IMLsSxVN9BHjJkCMLCwtCjRw+88MIL6NKlC3x9fTF27FjLc2JjY5GRkVHm77/44ouIjY3FyJEj8cknn2Dq1KmYO3cuIiMj0bp16wq/ByFEYf/5D3Dnbxbx8cAHHyhbHqJ6Cxaw5XYB4PvvAVWmthdXzBOn7E2ebF0WkJAy8Dzwyiv2iyyK7Zw4juo7yCaTCfv27cOYMWOQmJiInj174siRI3bzRsLDw/H555+X+fvNmzfHt99+i+PHj2Ps2LH47rvvsHLlSmzbtq1S76E2BoPBciMIkQ7FWXoVjrE4siaaPZutCEEqxBnbcs2awNq11v1Jk4AbN6R9z0rHedcuNn0IAPz9WW+H3JcztmfRli3AH3+w7WbNWLuWgjPHGNDATXpakZeXBy8vr/tO+iaEVNPzzwN3pklh1Cjgo4+ULQ9RNUFg62z89BPbnzEDiI5WtkwWt26xuSAXL7L97duBoUOVLRNRtexs1ikWkz/s3w/8+9/KlklrKtpfc86vBTpgNptx/PjxUndpEseiOEuv0jFesQLw8mLbH38MHD4sXeF0xFnbMscB69cD4j3Vb74J/PWXdO9XqTgvXWrtHPfuDURGSlcwnXHW9vz669bOcWSktJ1jZ42xiDrIGiUIAgoKCkAXAKRFcZZepWNcty6weLF1f8IEoLhYmsLpiDO35SZN7FfYmzBBuhv2Khzn06ftV8xbt45uzKsEZ2zPv/0GbNzItj097acPScEZY2yLOsiEEO0ZNw4QF/9JTJT+PwXRvNdfhyXN26FDwKefKlgYQWBtuKiI7U+bxq6bE1KOoiLWZERLl7Ip60Q61EEmhGiPyQS8/751xG3BAiA1VdkyEVVzc2ODtKLp04Hr1xUqzObNwK+/su1GjVhCW0LuYfVq4MQJth0WBtyVvZZIgDrIGmU0GtGsWbNyE2cTx6A4S6/KMX7kEZb6DQAKCqS9bq4D1JbZzXpPPcW2MzLYqLKj3TfOmZmsdy56913Aw8PxBdE5Z2rP589b08AbDGxsQI5qO1OMy0IdZI3iOA7e3t6WFbGINCjO0qtWjBcvtiYA/fFHlgWAlInaMrN2LUv/BgAffggcPOjY179vnKdOZakIAGDYMOCxxxxbACfhLO1ZEFjO4zsL/2LSJKB9e3ne21liXB7qIGtUSUkJYmJiSq1BThyL4iy9asW4Vi2WokA0aZKC183VjdoyExBgXbQOAF56ydr5cIR7xnnfPuvkZ29vYM0ax72xk3GW9rxjhzVFYUCAdSRZDs4S4/JQB1nDnDX1itwoztKrVoyHDGE/gHTXzXWC2jIzfjzQqRPbPnMGWLLEsa9fZpwLCuwnjq5cyTKykCrTe3vOybFfBGTdOuvVD7noPcb3Qh1kQoj2rVvH8h4B7Lr5b78pWx6iakYjayY1arD95cuB5GSJ33TRIjaZFAD+9S9g9GiJ35Bo3cyZwNWrbHvwYOs4AJEHdZAJIdoXEMDyHolefhkoLFSuPET1WrWyz408diwg2WBZUpI157GLC7vLykmX7yUV8+uvrJkA7B7Ot99WtDhOif5CNcpoNCI0NNRp7y6VC8VZeg6L8fjxQMeObPvkSRWtJ6wO1JZLmz0baNqUbf/xB0soUV2l4mw2s4nO4jzOWbOA5s2r/0ZOTs/t+dYtYMwY6/7y5UBgoPzl0HOMK4I6yBrm4uKidBGcAsVZeg6JsdEIfPCBNf/R4sVs5I5YUFu298ADbKqFaNYs4PLl6r+uXZzffpv1vgHWG581q/pvQADotz3Pm2edjdOtG8tgqRS9xrgiqIOsUWazGbGxsU49gV4OFGfpOTTGoaHWm/SKi4FRo6wjd06O2nLZ/vUvNsALADduVD+dtl2cz50D5sxhD3AcWyfY1bX6hSa6bc9//mldGNTVlTUZpWbj6DXGFUUdZEKIvsyfD7Rowbbj4oBVq5QtD1G96GjgoYfY9u7dwGefOeBFeZ7diFdQwPZffZUNBxJSjsJC1mR4nu1HRVmnABH5UQeZEKIvrq7Axx9bh10WLLCu0UpIGby9gXfese5PnAikp1fvNbl33rFmU2nc2P4mUkLKsGSJ9aOqQwdg2jRly+PsqINMCNGfRx6x/ncpKmLDMk56mZBUzJAhwLPPsu3r11kilKpOtXC9cgUGcWoFAGzaRMtJk3s6fty6gI3JxJqMyaRsmZwdJwjVmW1FRHl5efDy8kJubi5q1aol+fsJggCz2Qyj0ei0y0DKgeIsPcliXFAAtG3LVoIAWJqt6dMd9/oaQ235/rKygJYtrblnt2wBRo6s3GsIZjOE3r1h+PVXdmD8ePvhaeIQemrPJSVs4Zq4OLY/b568K+aVR08xtlXR/hqNIGtYUVGR0kVwChRn6UkSYzc3NtVC/GCfN8/aWXZS1JbvzcfHmnsWYKuYXblSyRf54ANr57hhQ0o3KCG9tOfoaGvnuEUL632daqCXGFcFdZA1ymw2IzEx0WnvLpULxVl6ksa4SxfrWq23bzv1VAtqyxUzeDDw3HNsOyeHZbio8HXWixeBGTOs+x9+aF3hkTiUXtpzQgKwcCHbNhiAjz5ST6ITvcS4qqiDTAjRtyVLgOBgtn34sDWHEiHlePttoF49tv3992yqxX3dyVrB3bjBdl98EejTR7pCEs27fRsYMcKaiXL2bOtaR0R51EEmhOibuzsblhGnWsyeDSQmKlsmomoPPsjWnBFNmgSkpd3nl956CzhwAABQ6OcHnqZWkPuYNw/46y+23a4d2yfqQR1kDXPW5R/lRnGWnuQxfvRR+6wWw4ezpKNOhtpyxQ0axEb3ACAvzz4/bSnJyXYr5KUuWAB4eUlfSCen5fZ86BCwejXbdnUFPvkEUOOidVqOcXVRFgsHkTuLBSGkkgoLgfBw6/LT06ezzBaElOP6daBVK2tO5DVrgMmT73pSYSG7Ln78ONufOtXa8yGkDHl5QJs2wIULbH/VKsp5LCfKYqFzgiAgJycH9P1GWhRn6ckWY1dXtkSaOEyzejUgZhtwAtSWK692bWDzZuv+66+XMTtn/nxr57hVKwiLF1OcZaDl9jx1qrVz/OijZXzpUgktx9gRqIOsUWazGadOnXLau0vlQnGWnqwxbt3auqKZILAktzk50r+vClBbrpo+fYApU9h2URHLcHH79p0HDx60XoVwcQE+/RTmGjUozjLQanv+7ju2CAgA1KzJvoCpdRaDVmPsKNRBJoQ4lylTgJ492fbly8CrrypbHqJ6S5cCoaFsOzkZmDkTQG4u+4Iljq4tXsyumxNSjn/+AcaMse6vXQsEBSlWHHIf1EEmhDgXg4EN24g3UX36KbBjh6JFIur2wAPA559b89O+9RZwJWIicOkSO/Doo+y6OSHl4Hn2fSojg+0PHMhu/CTqRR1kjeI4Dm5ubrpa/lGNKM7SUyTGgYHAhg3W/ZdfZos86Bi15epp2dI6m+JpfIH6+7eyHU9PYOtWy3VyirM8tBbnVauAffvYdr16bJqF2ouutRg7GmWxcBDKYkGIxggCMGwYsH072+/cmc0prVFD2XIR1RIE4MXu57D2t/aohXx2bPMWcM+PVLhkRM3+/BPo1o0tCMJxrKP8738rXSrnRVksdI7neWRkZIAvNzEncQSKs/QUizHHAe+9BzRqxPZ//13XmfqpLVcfV1SI93OetnSOP8FwvJM/wu45FGd5aCXOubnse7i4Wt6sWdrpHGslxlKhDrJG8TyPlJQUp224cqE4S0/RGHt7sxFkk4ntR0cDP/wgfzlkQG3ZAV57DTWS4gEAp/EwJuAdTJ3GIS7O+hSKszy0EGdBAMaNA1JT2X7nzsDChYoWqVK0EGMpaaKDfPToUXTq1Amenp7o27cvLl++XOHf/fXXX8FxXJk/PXr0sDzP39+/1OPvvfeeBLUhhKjKI4+wjrFo5EjgyhXlykPU6euvgXXr2LarK3Y9twM34ImiIiAy0mmyBZJK+Phj4Isv2LaXF7vRk2ZwaYdJ6QLcz4ULF9C3b1906NABO3fuxBdffIEBAwYgLi4ONSrQ0jp06ICYmJhSx5955hm0b98eAHD16lX8/fff2L17N+rWrWt5TsOGDR1XEUKIek2ZAvzyC7B7N3DtGvDss8DPP1tHlolzu3DBPuXA2rWYNLoNdp4Fjh5lI4SjRwNffaVYCYnKnDxpn0Fy40brbC6iDar/9F+xYgVcXFywa9cueHh4oHfv3ggJCcE333yDyMjI+/6+p6cnwsLC7I79+OOP+OeffzBz5kwAQEJCAjw9PfH4449r5m5NjuPg5eWlmfJqFcVZeqqIMcex1G9t2wJpacChQ8CiRUBUlHJlcjBVxFmLiouBZ56xDhFHRgIvvwwXjmUHbNeOLUn99dcs/durr1Kc5aDm9nzjBhARAdy6xfZfeonta42aYywH1U+x2L9/PwYPHgwPDw8AgNFoxKBBg7B///4qv+aCBQswceJE+Pn5AQDi4+MRFhamqUZgNBrRvHlzGNW6BI9OUJylp5oY+/gA27ZZl7VatIiNIuuEauKsNbNnszQEAFvV4cMPLfm5GjZkGd5Er70GxMZSnOWg1vYsCGwxkBMn2H7LlsCaNcqWqarUGmO5KD6CzPN8uRPAOY5Deno6QsUljO4IDAzEnj17qvR+hw4dwrFjx7Br1y7Lsbi4OFy8eBGNGjXC1atX0bp1ayxatAj9+vUr93UKCwtRWFho2c/LywMAlJSUoOTO7aoGgwEGg6FUHcXjZrPZbo3z8o4bjUZwHGd5XYDF7erVq/D39y+1TrrYmO9eHtJkMkEQBLvjHMfBaDSWKmN5x6Ws073KrlSdACAtLQ316tWz7Gu9Tmo7TyUlJUhPT7fEWNE6de0KPioKxrlzAUGAMGwYEBMDBAZq/jzxPI9//vkH9erVs0xP03qdKnK8OnXivvoKxlWr2IM1aoDftg28h4clJYHBYMDAgQZMm8Zj9WoDSkqAoUMF7N6djpYtH4IgCKqrk0jr54njOFy5cgV169Yt9dmsZJ3eeovD9u1s39MT+OorAS4uZksWCy2dJ57nceXKFbv/f3poe3c/vzyKd5BHjx6NLVu2lPlY9+7dUVBQgNq1a9sdd3NzQ2ZmZpXeb926dYiIiLCba3z06FH4+flhxowZ8Pb2xvr16zFo0CAkJiaiWbNmZb7OsmXLEFXG5deEhATLaLevry+Cg4ORmppqV96AgAAEBATgzJkzyM3NtRxv3Lgx/Pz8kJycjIKCAsvxZs2awdvbGwkJCZYTLggCeJ6Hn58fEhIS7MoQFhaGoqIiJCYmWo4ZjUaEh4cjNzcXp06dshx3c3NDmzZtcO3aNaSkpFiOe3l5oXnz5khPT0daWprluJR1AoDQ0FC4uLggNjZWFXWqV68ezpw5gytXrliuMGi9Tmo7T5mZmfjrr78sMVa8Tj17olnHjvD+809wmZkQnnwSBXv3IvHsWU2fJ0EQkJOTgytXriA8PJza3n3qlHXoEFrZrgu8ciVS69RBps37inUaOfI09u2rj8TEWrh0icNLLz2Agwd5nDz5l6rqpKfzFBISgnPnziEtLc3y2ax0nbZsScXrr7ewHN+6FahbNxexsdo8TwUFBXafzXppe3f3mcqj+EIhly5dQnZ2dpmP1axZE6Ghodi0aROGDRtmOb5x40YsX74c586dq9R7/f333wgMDMSvv/6Krl27Wo7Hx8cjJCQEnp6eANi3i5CQEDz55JNYvXp1ma9V1ghygwYNkJWVZUk8LeW3JLPZXO7UEBp1cFydeJ5HTEwM2rdvbymD1uuktvNUVFSEuLg4S4xVUafsbBg7dwZ358NeeP55mG0urd+vTmo8T+JnRvv27eHi4mKtqw2t1akix6tUp+xscB07grvzP0Z49llwn34K/s7ARFllv3xZQHi4EdeusTYydy6PhQtpBFmqOgmCUO5nsxJ1Sk8HOnQArl5l5//113ksX27Q9HkqKSlBbGysXYz10PauX78OHx+f+y4UovgIcmBgIAIDA8t93M/PD+np6XbHsrOzLaO0lbF9+3Y89NBD6NKli91xMZuFyGQyoWPHjjh27Fi5r+Xq6gpXV9dSx00mE0x33fkunty7lTevp7zjd7+ueJnp7uPlPV/8nbKOl1fGyh6vbp2qclzKOvE8b/kjv/s9tFonQH3nqawYK1onPz9211XnzsCtW+C2bIEpLAz4z38qXCc1nicxzuKXamp7ZZTRbIZhxAhAHIBp1w7cnS9HBo4rt06NGgGffQb07y+A5zksXmxA27bAU0+poE5VOK7281RSUlLuZ7PcdSoqAoYOBa5eZfu9ewNLlhgqXaeqHJfyPIl9jLtjrOU63et4qfJV6FkK6tSpEw4fPmx3LC4uDv7+/pV+re3bt+PJJ5+0G3G9efMmDhw4UOq52dnZuH37duULLBODwQBfX98yGxdxHIqz9FQb49BQ4KOPrPtTprDsFhql2jirzcKFwPffs20fH+C//wXc3Sv0q337AtHR1hGukSMBm5kExIHU1J6nTweOHGHbDRqwfMfl9OU0RU0xVoLqax0REYE9e/YgKSkJAMuLvGvXLvTu3btSr5Oeno4//vgDgwYNsjuempqK3r1746zN/MILFy7gt99+Q6dOnapfAYkYDAYEBwc7bcOVC8VZeqqO8dNPs9QEALsxKzKSpYHTIFXHWS2+/hpYvJhtGwxslcVKJq+dNs2A4cPZ9q1bwODBLLU2cSy1tOfNm63rx7i4sFzYvr6KFslh1BJjpai+1kOGDEFYWBh69OiBF154AV26dIGvry/Gjh1reU5sbCwyMjLu+To///wzjEZjqU5vq1at8Oijj2Lw4MF4//33sW7dOvTo0QMeHh6YPHmyFFVyCJ7ncf78ebv5O8TxKM7SU32Mly5l10wBICMDePJJQMVXl8qj+jgr7eRJNuQrWrEC+Pe/K/0ygsBj5swUhIWxkeQLF9jl9+JiB5WTAFBHez54kOU4Fq1bB4SHK1Ych1NDjJWk+g6yyWTCvn37MGbMGCQmJqJnz544cuSI3cTq8PBwfP755/d8nQMHDqBNmzZlzl3esWMHWrVqhenTp2PhwoXo2rUrEhMT0aBBA4fXx1F4nkdmZqbTNly5UJylp/oYm0xsvVhxJDEmhi2bptbylkP1cVZSZiYwcCBb4QEAhg0Dpk6t0kvxPI/8/Ax8+aUZYrKkX34Bpk1zUFkJAOXb89mz7Luy+MXnlVfsO8t6oHSMlab4TXoV4e7ujujoaERHR5f5eEUScXz88cflPubn54cdO3ZUuXyEEJ3z8QG++Qbo0oVdN9+2DWjc2Ho5nmhXQQHwf/8HiOmp2rRh6wJXc+GogAA2fblHD9aJWrcOaN0asLn4STQqO5t9nxITcD32GLB2raJFIhJQ/QgyIYSoQps2rGMsdpyWLLG/iY9oD8+zaRV//MH2/f2B3bsrfFPe/XTpArz7rnV//Hjgxx8d8tJEIUVFbNnoM2fYfsuW7AJTBRMjEA2hDrJGGQwGBAQEOO3keblQnKWnqRj/3//ZDxW9/DJQjWXv5aSpOMtl1ixg5062XbMmsGcPG/qthrvj/OKLgHg7i9nMOlfx8dV6CwJl2rMgABMmsCkzALsZ77vvAC8v2YogK2f/zFB8oRC9yMvLg5eX130TTxNCdGDyZOCtt9h2rVrA4cNAq1aKFolU0vvvA+PGsW2jkfV0+veX5K3MZpYQ5auv2H7dusDvvwNBQZK8HZHIypXAjBls29WVdZQ7d1a2TKTyKtpfc86vBTpgNptx8uTJUivFEMeiOEtPkzFevZrl7wKAvDzg8ceBv/9Wtkz3ock4S+XHH9ldVaL16x3WOS4rzkYj8MkngLiA69Wr7O2yshzylk5J7vb86afWzjEAfPyx/jvHzv6ZQR1kjRIEAbm5uRW6QZFUHcVZepqMsdHIlk0LC2P7ly+zu3by8pQt1z1oMs5SiI9n+azFf/rTp1tHkh2gvDi7uQHffgs0bcr2T59mM3YKChz21k5Fzva8ezfwwgvW/YULWaITvXP2zwzqIBNCSFV4eLDL8oGBbD8+nnWSb91StlykfCdOsOXuxHRuTz0FlJMdSQo+PsAPP8CS/u3IEWD4cGtfnajPoUP236fGjQPmz1e2TEQe1EEmhJCqqleP9XgefJDt//YbS45aWKhsuUhp58+zBV/EeQ3durF5DzLfgBQUxFayFlPy//e/rNPlpKlmVe3YMWDQIOu6QE8/zWbjVDMDINEI6iBrlMFgQOPGjZ327lK5UJylp/kYt2gB/PQT4OnJ9n/6CXj2WbY0tYpoPs7VkZbGVsUT54l36MCum7u5OfytKhLn9u1Z8gyjke1v3Ai8+irLkkAqRur2fPYs0K+fddbUY48BW7daz5kzcOrPDFAWC4ehLBaEOLnffmP/UcVJpSNGAJs3yz5CSe6SkQE8+iib9AuwxLUHD7L5DgrbsYPNZRVHj6dMYfd/0gilsq5cYTdUXrzI9rt0AfbutY76E22jLBY6Zzabcfz4cae9u1QuFGfp6SbG//oXW23PxYXtf/IJ8J//qGZYUDdxrozr19mcY7Fz3KQJsG+fpJ3jysR56FBgyxZrh3jNGmD2bNU0GVWTqj2npQE9e1o7x61bs4sNztg5dsrPDBvUQdYoQRBQUFDgtHeXyoXiLD1dxbhvX2D7dut12HffBaZNU0WPR1dxroicHJZL7fhxtt+gAVvU5aGHJH3bysZ5+HDgww+t+8uXA1FREhVOR6RozxcvAt27s+kVAJsv/tNPQO3aDnsLTXG6z4y7UAeZEEIcacgQNrXCdlhw/Hi6C0tOGRlsGPDPP9m+nx/rHDdsqGy5yvHii8CGDdb9qChg6VLlyuOMUlJY5zglhe0HBwO//ir59ymiYtRBJoQQRxOHBcVO8vvvA88/r7ob93TpyhXW0zl2jO37+rLO8cMPK1qs+5kwgX2XEs2ZQ9Mt5HL2LGsy4rSKhx9m09TFDI7EOVEHWaOMRiOaNWsGozPdUqsAirP0dBvjF19ky2+J9fr0UzbpVKEUcLqNs62UFDYX/NQpth8QwG6ebN1atiJUJ86TJ9unZV62DHj5ZcqTXBZHteeTJ1nnOC2N7bdowTrH9es7oJAa5xSfGfdAWSwchLJYEELK9O23rGNcVMT2+/YFvv4acHdXtlx6c/Iky3Ocns72GzcGfv4ZaNRI0WJVxYYN9mnfIiLY9ytXV2XLpTcJCSx9W0YG2w8NZRcbfH2VLReRFmWx0LmSkhLExMSghC7ZSoriLD3dx3jwYHYbvNgh3ruXpYPLyZG1GLqOc3w8S+Umdo5btGAjxwp0jh0R51deYSuZm0xsf+dOYMAAID/fQYXUgerG+fvv2cUGsXPcvj1w4AB1jm3p+jOjAqiDrGHOmnpFbhRn6ek+xn36sNvhxdGK//0P6NyZre4mI13G+ZtvWE/n2jW23749u0bu769YkRwR52HD2Erm4lomP//M1joRq0mqHud33mEr5N28yfa7dGHxVUFqbNXR5WdGBVEHmRBC5NCtGxuiqlOH7Z86BTzyCOvMkcoTBDZh98kngVu32LGuXe1jrHGPPcY6bmKasZgYoFMn4K+/lC2XVvE88NprbIReTCoTGcmmVXh7K1o0okLUQSaEELl06AD88QfQvDnbz85mo8sffaRsubSmsBB44QVg5kzrRN1nn2U9HS8vRYvmaJ07A4cOWdONnT/POsnffKNosTSnoIDdCrBqlfXYjBnAF19IsuI40QG6Sc9B5L5JT0zg7ebmBo7WJZUMxVl6Thnj3Fzg6afZtAvR9OlslQiJ7hjXTZwzM4EnngAOH7YeW7SI5UVTQb2kivOlSyzFdkKC9djChcC8ec65mnll4nz5MhspFtNiG43sRsiXX5ahoBqmm8+Mu9BNek7ARVzSlkiK4iw9p4uxlxe7cW/iROuxVavYDX3Z2ZK9rebjHB/PpqWInWM3N+DLL4G5c1XRORZJEefAQDZ1/ZlnrMcWLgSeesp5b96rSJy//x5o29baOa5Zk83tps5xxWj+M6MaqIOsUWazGbGxsU49gV4OFGfpOW2MTSbgrbfYctTiqPGePUCbNpLMS9Z0nHkeePNNNrfgwgV2zN+fzT2IiFC0aHeTMs7u7sDnn7Op1+L3gW++YdMwTp50+Nup2v3iXFLCZuAMGGD9ztmoEUtu0r+/fOXUMk1/ZjgAdZAJIURJ48axqRbiLfRpaWyZ5PnzaeU9ALh6FXj8cWDaNKC4mB0LDweOHgXCwpQtmwI4js2d3bPHOt36r79Y8o5162hFc4Atptizp/2iK4MHswsQbdsqViyiMdRBJoQQpf3738Dx4+y/OsBuPFu0iC3xJY6YOqOffmKrN9jO1Z4xg801cPKlzvr3Z98RWrRg+7dvsxk7/fuzDqKz2r2bdYL/9z+2bzKxiw9ff23NBkJIRVAHmRBC1KB+fWDfPmDpUuuUiyNH2H/7Tz6xZmtwBjdvAlOn2i9zVrcu6yhHRwNOPC/S1sMPA7GxbNU90d69bGXtHTuUK5cSrl5l87MHDbLmig4MZFMqpkxR1RR1ohGUxcJBlMhiYTabYTQadXV3qdpQnKVHMS7DH3+wlSJsR4979GArHIgp4ipJE3EWBDapdtIklnpA1L8/sHkz4OenVMkqTKk4790LjBplXUwQYE1o9Wprijg9EeNsMBixZQuHadOA69etjw8cCGzZAjz4oHJl1DpNfGZUAWWxcAJFRUVKF8EpUJylRzG+S6dOwLFjrIcj+vVXNt1g1izrEmCVpOo4p6SwXs2TT1o7xy4uwJo17Lq5BjrHIiXi3LcvkJTEcv2Ktm1jo8zR0Sx1tN6cPFmMPn2A0aOtnWMfH2DrVmDXLuocO4KqPzMkRh1kjTKbzUhMTHTau0vlQnGWHsW4HF5eLGXB7t1AUBA7VlLCciW3aMFGWitxAVC1cS4sZPOtW7ZkOblEffsCycnA5MmaSvSrZJwffJAtfPHpp9aV4W7cYNkcWrYEvv1WHzN1srKAGTMEhIW54sAB68jmc8+xbB4jRtCUCkdQ7WeGTLTzqUMIIc5owACWpmD+fOvc20uX2GIZXbsCP/ygzV5PQQFLuxAczOp2+zY7Xr8+y238449ASIiyZdQgjmMdxbNngfHjrd8tzp9nC43068cuTmhRXh7L/RwUBKxaZUBREatcw4bsz+DTTwFfX2XLSPSDOsiEEKJ2bm5AVBQbUe3b13r8999ZCrRHHmHXlLXQUb55k02MDQpiaRfElAtGI0vldvIky21MQ4DVUqcOm7KekMCmr4v27QPatWMd5f37tdFkbt0CVq5kTSYqyrowiosLj6lTeSQns/s5CXEk6iBrmFGiJWmJPYqz9CjGFRQSwkZWd+5k18xFsbEs0Wu7duwauzgaexdF45yRASxbxlZrmD6dpR0QDR7MenKrVgGenooV0VHU1J5DQ4EDB1iTadTIenzvXqBPH6BDBzZXWY0pt8+cAV57jY0Qz5hhXfDDZALGjOHx1VeJiI7mUbOmsuXUMzW1ZdkJGpGfny80b95c+OWXX6r0+ytXrhQCAgIEX19fYe7cuYLZbLZ7/M8//xQ6duwo1KxZU+jTp49w6dKlSr1+bm6uAEDIzc2tUvkIIaRSzGZB+OorQWjTRhDYQKD1x9tbEMaNE4QjRwSB55UrY0GBIHz5pSAMHCgIRqN9GTlOECIiBOHYMeXK52Ru3RKEDRsEoXHj0k2mYUNBmDNHEBITlW0yt28LwrZtgtCjR+kycpwgjBghCOfOKVc+on0V7a9pYgS5uLgYI0eOxMkqrqW5du1azJgxA2PGjMHHH3+Mbdu2YeXKlZbHL1y4gL59+8LDwwM7d+5E/fr1MWDAABSLqzapkCAIyMnJgaCF62MaRnGWHsW4igwGlvEhIYFNrwgPtz6WkwO89x7QpQvQtCmweDGEpCTkZGdLH+fbt1nGjfHjWX6xyEh2o6F4o4/BwLJzJCWxucZt2khbHpmpuT27uQETJgCnTwPbt7PRY9HFi8CSJWzEuWVLNtdXruWrr19nI9xjx7Ip6MOGsSYkcnGxNpmtW9m0dTXHWS+cPsbS9dEdo6CgQOjdu7cQHh4uAKj0CHJhYaHg7e0tjB8/3nLswIEDgpeXl1BcXCwIgiCMHz9e8PX1FW7cuCEIgiCUlJQIQUFBwo4dOyr8PnKPIBcXFwu///67pQ5EGhRn6VGMHYTnBeHnn9kQm7t76eE3QCjy8hLMQ4YIwtq1bOT2ritpVXLrFnvf+fMFoXt3QXB1LfO9hfr1BWHmTEE4c6b676liWmrPPC8IBw4IQv/+bHS2rNMWEiIII0cKwjvvCEJcnCAUFVX/fXNzBeHwYUFYuFAQOncWBIOh7Pd++GFBWLVKEDIySr+GluKsVXqNcUX7ayaF++f39c8//8DHxwdff/01PKswNy02NhY5OTl47rnnLMd63lnONSYmBp07d8b+/fsxePBgeHh4AGBzbgYNGoT9+/cjMjLSMRUhhBApcRzQqxf72bAB+O9/2UoJv/xieUqN3FyWHu6bb9iBWrXYcFzDhmyCqvjz4IOlb5Izm9kqFBcvsgVMLlxg2+fPA+VdbXN3B556Chg5ki2j7czzGVWI49hp6dkT+OcfNoq7fbt1mWaAZcM4e5aN3AJsFLpDB6BJE7a4Yb167KduXdZsiovZRQTxp6CANZtTp9jP6dPA33+XXyZXV3Zh5KWX2ErrdK8mUYriHWSe58HzfJmPcRyHwMBAfPHFF1V+/fQ7ywqFhobaHW/QoAHOnj2Lzp07Iz09vdTjgYGB2LNnT7mvW1hYiEKbzOt5eXkAgJKSEpTcudvBYDDAYDCUqqN43Gw22126KO+4uIpNic1dFOJzBEGwOy4+X3yOLZPJZFkZR8RxHIxGY6kylndcyjrdq+xK1QlAqdfXep3UeJ5sH9NLnRQ9T25uwHPPwThyJHDxIvgvvwQOHYJw8CBMYgoAgOXNSkhgPw4iBAWB694dfM+e4AcNstx0Z+A4GADdn6fyttVepzp1gHHjgAkTDPj7bwO2b+fx1VccYmKA4mJrL7WggHWgbTvR1dW8uYB+/Tj07Suga1cz3N3ZcZ4vv05A+Z/N9BnhmDqJfQzbx7ReJwClnl8exTvIo0ePxpYtW8p8rHv37vjVdiJSFRQUFMBoNJYafXZzc0NmZqblObVr1y738bIsW7YMUVFRpY4nJCRYRqJ9fX0RHByM1NRUu9cKCAhAQEAAzpw5g9zcXMvxxo0bw8/PD8nJySgoKLAcb9asGby9vZGQkGA54YIgwMXFBYIgIC4uzq4MYWFhKCoqQmJiouWY0WhEeHg4cnNzcerUKbt6tmnTBteuXUNKSorluJeXF5o3b4709HSkpaVZjktZJ4B9kXFxcUFsbKwq6vTQQw+hsLAQ8fHxlg9lrddJbecpOzsb+fn5lhjroU6qOk8BAYj9178gdOuG/AkTUDcjA62ysiAcPAjz0aNwycwEV9WFANzcUNygAa43bYq8du2Q164dvFq3ZnU6fx6Zp09LUycVnydBEMBxHDiO03Sd+vc/jS5dclFYyOHsWQ/8809DnDjhiUOHCnHliiuqytdXQEgIDx+fLLRseQMdO+agfn0zwsPDkZOTixMnKlanhx9+GDzP230202eEY+tUWFho99mshzoVFRUhoYIDApxg2x1XwKVLl5At5m65S82aNdGkSRPLPsdx+OWXX9DDNqnjfezYsQMjR47E7bvSHnXr1g2PPfYY5s6dC3d3d2zatAnDbJZ13bhxI5YvX45z586V+bpljSA3aNAAWVlZlrW9lf6WpLdvs1QnqhPVSYI6lZSwXMQXL8KUlgYhNRWCzT8n8X0FQQDv5wc0bAghMBBcUBCM9eqBFwT11cmGbs6TiuqUnS0gPR24epVDZqYBV69ySE/nkZPDpkg88ADg5sbhgQcAV1cetWsDTZsKaNoU8PVVZ530eJ6oTmXX6fr16/Dx8UFubq6lv1YWxUeQAwMDERgYKNnr+/n5obCwEFlZWfDx8bEcz87Otoz0+vn5WaZilPV4WVxdXeHqWvpbtMlkgslkH1bx5N6tvPyC5R23fV2e55GZmYk6deqUer+yni/iOK7M4+WVsbLHq1Onqh6Xsk48zyMrKwt16tQp9ZhW6wSo6zwB7O/t7hhruU5qPE88z+PatWuoU6eOZcTNZDKxpLLBwewHAHfn524cgLLe1cBxdJ5sym4bZ73U6e7jvr5lrVhXXlKsisegMnWyjfPdjzlr26vI8cqUnef5Mj+btVynex0vVb4KPUvD2rVrBxcXFxw+fNhyLD8/H2fOnIG/vz8AoFOnTnaPA0BcXJzlcTXieR4pKSl2376I41GcpUcxlgfFWR4UZ3lQnKXn7DHWfQfZy8sLffr0wapVqyzD7Rs2bIAgCOjVqxcAICIiAnv27EFSUhIAlhd5165d6N27t2LlJoQQQgghylB8ioUjxMbGIjAwEH5+fmU+HhUVhW7duqFTp04ICgrCzp07MXHiRPjeuUY0ZMgQhIWFoUePHhg0aBD27t0LX19fjB07Vs5qEEIIIYQQFdDFCHJ4eDg+//zzch/v0KEDjh49ivr16yMlJQXR0dFYvXq15XGTyYR9+/ZhzJgxSExMRM+ePXHkyJF7Tt5Wmni3vziXkEiD4iw9irE8KM7yoDjLg+IsPWePseJZLPQiLy8PXl5e970rkhBCCCGEKKOi/TVdjCA7I57nkZaW5rST5+VCcZYexVgeFGd5UJzlQXGWnrPHmDrIGuXsDVcuFGfpUYzlQXGWB8VZHhRn6Tl7jKmDTAghhBBCiA3qIBNCCCGEEGKDOsgaZTAY4OvrW+YqNMRxKM7SoxjLg+IsD4qzPCjO0nP2GFMWCwehLBaEEEIIIepGWSx0jud5nD9/3mknz8uF4iw9irE8KM7yoDjLg+IsPWePMXWQNYrneWRmZjptw5ULxVl6FGN5UJzlQXGWB8VZes4eY+ogE0IIIYQQYsOkdAH0QpzKnZeXJ8v7lZSU4ObNm8jLy4PJRKdRKhRn6VGM5UFxlgfFWR4UZ+npNcZiP+1+t+Dpp8YKy8/PBwA0aNBA4ZIQQgghhJB7yc/Ph5eXV7mPUxYLB+F5Hunp6fD09ATHcZK/X15eHho0aIDLly9T1gwJUZylRzGWB8VZHhRneVCcpafXGAuCgPz8fPj7+98zhR2NIDuIwWBAQECA7O9bq1YtXTVctaI4S49iLA+KszwozvKgOEtPjzG+18ixiG7SI4QQQgghxAZ1kAkhhBBCCLFBHWSNcnV1xYIFC+Dq6qp0UXSN4iw9irE8KM7yoDjLg+IsPWePMd2kRwghhBBCiA0aQSaEEEIIIcQGdZAJIYQQQgixQR1kQgghhBBCbFAHWYNWrVqFBg0awM/PD/PmzQPP80oXSbf27duH4OBgpYuhW1lZWRg2bBhq1aoFFxcX9OjRAxcuXFC6WLoUFxeHV155BUOHDsXy5ctx8+ZNpYukW2azGWFhYVi4cKHSRdGdvXv3guO4Uj+3b99Wumi6JAgCunTpgoEDBypdFNlRB1lj1q5dixkzZmDMmDH4+OOPsW3bNqxcuVLpYunSqVOn8Oyzz8JsNitdFN0aOnQoDh06hPnz52PFihVISkpCRESE0sXSnUOHDqFbt264efMmmjRpgrfeegv9+vUD3aMtjRUrViAuLk7pYuhSQkICwsPDERMTY/fjrJkWpPbBBx8gLi4Oa9euVboosqOV9DSkqKgIUVFRGDduHBYsWAAAcHd3xxNPPIFp06bBZKLT6ShHjx5F//79ERwcjIyMDKWLo0v79+/Hn3/+ieTkZDRq1AgA4OnpiTFjxiA1NRVBQUHKFlBHXnnlFcycOdPyuTFgwAB069YNx48fR9u2bZUtnM6cPHkSUVFR8PT0VLooupSQkICOHTsiLCxM6aLo3tWrVzFz5kxMmzYNTZo0Ubo4sqMRZA2JjY1FTk4OnnvuOcuxnj17AgBiYmKUKpYuHTp0CKtXr8aECROULopuhYeH4+jRo5bOMQD4+PgAYF8GiWMUFhZi6tSpmDx5suWYv7+/5THiODzPY/To0YiMjET79u2VLo4uxcfHIzw8XOliOIWpU6fCw8MDc+bMUbooiqAOsoakp6cDAEJDQ+2ON2jQAGfPnlWiSLo1depUvPDCC0oXQ9e8vLzQokULu2M//PADfH19ERISolCp9MfV1RWjRo2Cl5cXANaJW7lyJRo1akSdOAdbs2YNLl68iLffflvpouhSbm4uzp07h/Xr18PLywu1a9fG8OHD8c8//yhdNN355Zdf8Pnnn6Nhw4Z46aWXMGPGDKSlpSldLFlRB1lDCgoKYDQaS126c3NzQ2ZmpkKl0ieDgf405JaSkoLNmzdjypQpFH+JfPDBB2jevDm+/PJL7NmzBzVq1FC6SLpx7tw5zJ8/Hx9++CFq166tdHF0KTY2FoIgoEOHDti5cyfWrl2LX375BZGRkUoXTXdmzJgBAMjMzERmZibWr1+Ptm3bOtVgHP0X0hBXV9cy5xm7uLigoKBAgRIR4hg8z2PUqFEICAjApEmTlC6ObrVs2RI9e/ZEfn4+3nvvPaWLoxuCIODFF1/E008/jQEDBihdHN0KCwtDQkIC3n33XfTp0wfPP/88tm7div/9739ISkpSuni6ERcXh9jYWAwZMgSnT5/G3r17ceLECQiCYLmPwRlQB1lD/Pz8UFhYiKysLLvj2dnZ8PDwUKhUhFRfdHQ0Dh8+jE8++QTu7u5KF0e3unbtivfeew87d+7EunXrcPjwYaWLpAsbNmxASkoK1qxZo3RRdM3Ly6vUTaVdu3YFABw7dkz+AunUmTNnAACvvfYaOI4DADRq1Ah9+/ZFQkKCkkWTFXWQNaRdu3ZwcXGx+6eWn5+PM2fOWG66IURrDhw4gHnz5mHJkiXo0qWL0sXRHbPZjJSUFLtjjz/+OIxGI06ePKlQqfRl586dSEtLg7e3tyUv78GDBxEVFQWO4yi3t4OkpqYiOTnZ7lh2djYAUB5kBxIH3Bo3bmx3/IEHHnCqdHrUQdYQLy8v9OnTB6tWrbLk5t2wYQMEQUCvXr0ULh0hlXfixAlERERg4MCBljlvxLEuXbqE4OBgHD161HLs3LlzMJvNdhlESNVt3LgRCQkJdj8dOnTAyy+/jISEBBrAcJANGzZg/Pjxdse2bt0KAOjUqZMSRdKlsLAwcByH48ePW46VlJTg8OHD6Nixo4IlkxclztWYqKgodOvWDZ06dUJQUBB27tyJiRMnwtfXV+miEVIpxcXFiIiIAMdxmDRpkt3CCkFBQZaUb6R6goKC8MQTT+Cpp57C8uXLUadOHcyZMwft27dH9+7dlS6eLpSVI7ZmzZqoV68e5Zl2oBdffBEbNmzAyJEj0adPHyQkJODtt99GZGQkWrdurXTxdMPf3x/Dhw/H2LFjER0dDV9fX7z77ru4fPmyU90jQiPIGtOhQwccPXoU9evXR0pKCqKjo7F69Wqli0VIpSUnJ+PkyZPIzs5Gr169EB4ebvn57rvvlC6ermzevBkDBw7ElClT8Nxzz6FVq1b48ccfKYsF0ZTmzZvj22+/xfHjxzF27Fh89913WLlyJbZt26Z00XRn06ZNeP755zFnzhwMGjQIZ8+exbffflsqNaeecQKtNUoIIYQQQogFjSATQgghhBBigzrIhBBCCCGE2KAOMiGEEEIIITaog0wIIYQQQogN6iATQgghhBBigzrIhBBCCCGE2KAOMiGEEEIIITaog0wIIYQQQogN6iATQgghhBBigzrIhBBCCCGE2KAOMiGEEEIIITaog0wIIcSioKAAwcHBGDVqlOXYtGnTUK9ePVy/fl3BkhFCiHw4QRAEpQtBCCFEPfbu3Yv+/fsjNjYWnp6eaNmyJbZs2YJnnnlG6aIRQogsqINMCCGklOeeew7p6enw9vZGYWEhvv/+e6WLRAghsqEOMiGEkFIyMjLQrFkzFBYW4sSJE2jYsKHSRSKEENnQHGRCCCGlZGdn49atWygqKkJmZqbSxSGEEFnRCDIhhBA7PM/j0UcfRd26deHt7Y2YmBjExcWhRo0aSheNEEJkYVK6AIQQQtRl/fr1OHbsGE6ePAl3d3c0bdoUS5YswcKFC5UuGiGEyIKmWBBCCLG4cOECZs+ejQULFqBBgwbw8fFBdHQ0li5diqSkJKWLRwghsqApFoQQQgghhNigEWRCCCGEEEJsUAeZEEIIIYQQG9RBJoQQQgghxAZ1kAkhhBBCCLFBHWRCCCGEEEJsUAeZEEIIIYQQG9RBJoQQQgghxAZ1kAkhhBBCCLFBHWRCCCGEEEJsUAeZEEIIIYQQG/8P3DMqrfgxX2gAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 在同一图中绘制正弦和余弦曲线，并添加图例\n",
    "plt.figure(figsize=(8, 5))\n",
    "plt.plot(x, np.sin(x), label='正弦函数', color='blue', linewidth=2)\n",
    "plt.plot(x, np.cos(x), label='余弦函数', color='red', linewidth=2)\n",
    "plt.title('正弦和余弦函数对比', fontsize=14)\n",
    "plt.xlabel('x', fontsize=12)\n",
    "plt.ylabel('函数值', fontsize=12)\n",
    "plt.legend(loc='upper right', fontsize=12)\n",
    "plt.grid(True, linestyle='--', alpha=0.7)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba469310-8163-4ca6-9ce0-830140094f22",
   "metadata": {},
   "source": [
    "### Matplotlib 2 散点图绘制练习  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49bd16ef-1568-4cd5-9dbc-faf31cd9b910",
   "metadata": {},
   "source": [
    "#### 问题2.1：创建随机散点图  \n",
    "**任务**：使用 Matplotlib 创建基本随机散点图。  \n",
    "**要求**：  \n",
    "1. 设置随机数种子为42，生成50个0-1之间的随机数作为x和y坐标  \n",
    "2. 绘制绿色（`color='green'`）散点图，设置透明度为0.7  \n",
    "3. 设置标题为\"随机散点图\"，x轴标签为\"X值\"，y轴标签为\"Y值\"  \n",
    "4. 添加网格线（虚线样式，透明度0.5）  \n",
    "5. 调整图形大小为8×5英寸  \n",
    "6. 显示图形  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "93f26ae5-c210-4f58-8a91-de7c7ff6517a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 创建随机散点图\n",
    "np.random.seed(42)\n",
    "x = np.random.rand(50)\n",
    "y = np.random.rand(50)\n",
    "\n",
    "plt.figure(figsize=(8, 5))\n",
    "plt.scatter(x, y, color='green', alpha=0.7)\n",
    "plt.title('随机散点图', fontsize=14)\n",
    "plt.xlabel('X值', fontsize=12)\n",
    "plt.ylabel('Y值', fontsize=12)\n",
    "plt.grid(True, linestyle='--', alpha=0.5)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "778cd1f5-8f4a-4f40-a6ee-36738e58f00b",
   "metadata": {},
   "source": [
    "\n",
    "#### 问题2.2：根据第三变量设置散点颜色和大小  \n",
    "**任务**：使用第三变量控制散点的颜色和大小，创建更复杂的散点图。  \n",
    "**要求**：  \n",
    "1. 生成50个0-100之间的随机数作为第三变量`z`  \n",
    "2. 生成50个10-200之间的随机整数作为散点大小`sizes`  \n",
    "3. 使用`plt.scatter()`绘制散点图，将`z`映射到颜色（`c=z`），使用`viridis`颜色映射，点大小为`sizes`  \n",
    "4. 添加颜色条（`plt.colorbar()`）并标注为\"Z值\"  \n",
    "5. 设置标题为\"带颜色和大小的散点图\"，添加坐标轴标签和网格线  \n",
    "6. 调整图形大小为8×5英寸  \n",
    "7. 显示图形  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "eef2c541-f8d5-48b9-8546-a27423479f72",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 根据第三变量设置散点颜色和大小\n",
    "z = np.random.rand(50) * 100  # 第三变量\n",
    "sizes = np.random.randint(10, 200, 50)  # 点的大小\n",
    "\n",
    "plt.figure(figsize=(8, 5))\n",
    "scatter = plt.scatter(x, y, c=z, s=sizes, cmap='viridis', alpha=0.7)\n",
    "plt.colorbar(scatter, label='Z值')\n",
    "plt.title('带颜色和大小的散点图', fontsize=14)\n",
    "plt.xlabel('X值', fontsize=12)\n",
    "plt.ylabel('Y值', fontsize=12)\n",
    "plt.grid(True, linestyle='--', alpha=0.5)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "863770e4-bfbd-478b-9e29-fc57342c739d",
   "metadata": {},
   "source": [
    "#### 问题2.3：绘制带有不同标记的散点图  \n",
    "**任务**：根据分类变量为散点设置不同的标记形状和颜色。  \n",
    "**要求**：  \n",
    "1. 随机生成50个类别标签（A、B、C）  \n",
    "2. 为每个类别定义不同的标记（A:圆形'o'，B:方形's'，C:三角形'^'）和颜色（A:红色，B:蓝色，C:绿色）  \n",
    "3. 使用循环为每个类别绘制独立的散点图，设置相应的标记和颜色  \n",
    "4. 添加图例（`plt.legend()`）并设置标题为\"类别\"  \n",
    "5. 设置标题为\"不同标记的散点图\"，添加坐标轴标签和网格线  \n",
    "6. 调整图形大小为8×5英寸  \n",
    "7. 显示图形  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 342,
   "id": "2602002d-f367-4496-bef5-eae0cb6f55b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 绘制带有不同标记的散点图\n",
    "categories = np.random.choice(['A', 'B', 'C'], 50)\n",
    "markers = {'A': 'o', 'B': 's', 'C': '^'}\n",
    "colors = {'A': 'red', 'B': 'blue', 'C': 'green'}\n",
    "\n",
    "plt.figure(figsize=(8, 5))\n",
    "for cat in set(categories):\n",
    "    mask = categories == cat\n",
    "    plt.scatter(x[mask], y[mask], marker=markers[cat], \n",
    "                color=colors[cat], label=cat, alpha=0.7)\n",
    "plt.title('不同标记的散点图', fontsize=14)\n",
    "plt.xlabel('X值', fontsize=12)\n",
    "plt.ylabel('Y值', fontsize=12)\n",
    "plt.legend(title='类别', fontsize=10)\n",
    "plt.grid(True, linestyle='--', alpha=0.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e797e7b-dcdc-4feb-9207-50aa7c544f77",
   "metadata": {},
   "source": [
    "### Matplotlib 3 柱状图绘制练习  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "662a2792-b634-41b6-bc96-30f2fe5644fd",
   "metadata": {},
   "source": [
    "#### 问题3.1：绘制简单垂直柱状图  \n",
    "**任务**：使用 Matplotlib 绘制展示水果销量的垂直柱状图。  \n",
    "**要求**：  \n",
    "1. 定义水果种类标签 `labels = ['苹果', '香蕉', '橙子', '梨子']` 和销量数据 `values = [23, 45, 37, 19]`  \n",
    "2. 绘制垂直柱状图（`plt.bar()`），为每种水果设置不同颜色（红、黄、橙、绿），透明度0.7  \n",
    "3. 设置标题为\"水果销量\"，x轴标签为\"水果种类\"，y轴标签为\"销量(千克)\"  \n",
    "4. 添加纵向网格线（虚线样式，透明度0.5）  \n",
    "5. 调整图形大小为8×5英寸  \n",
    "6. 显示图形  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "615caecb-2c7a-4ca6-a275-a36a59ab224d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制简单的垂直柱状图\n",
    "labels = ['苹果', '香蕉', '橙子', '梨子']\n",
    "values = [23, 45, 37, 19]\n",
    "\n",
    "plt.figure(figsize=(8, 5))\n",
    "plt.bar(labels, values, color=['red', 'yellow', 'orange', 'green'], alpha=0.7)\n",
    "plt.title('水果销量', fontsize=14)\n",
    "plt.xlabel('水果种类', fontsize=12)\n",
    "plt.ylabel('销量(千克)', fontsize=12)\n",
    "plt.grid(True, axis='y', linestyle='--', alpha=0.5)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3dd463e6-525d-4b14-b8bf-5fb076c93b4e",
   "metadata": {},
   "source": [
    "\n",
    "#### 问题3.2：绘制水平柱状图  \n",
    "**任务**：将水果销量数据绘制成水平柱状图，对比垂直柱状图的展示效果。  \n",
    "**要求**：  \n",
    "1. 使用与问题3.1相同的标签和数据  \n",
    "2. 绘制水平柱状图（`plt.barh()`），颜色和透明度设置与垂直图一致  \n",
    "3. 设置标题为\"水果销量(水平)\"，x轴标签为\"销量(千克)\"，y轴标签为\"水果种类\"  \n",
    "4. 添加横向网格线（虚线样式，透明度0.5）  \n",
    "5. 调整图形大小为8×5英寸  \n",
    "6. 显示图形  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "87f95196-f2b1-414d-a9a8-88ef6329c373",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制水平柱状图\n",
    "plt.figure(figsize=(8, 5))\n",
    "plt.barh(labels, values, color=['red', 'yellow', 'orange', 'green'], alpha=0.7)\n",
    "plt.title('水果销量(水平)', fontsize=14)\n",
    "plt.xlabel('销量(千克)', fontsize=12)\n",
    "plt.ylabel('水果种类', fontsize=12)\n",
    "plt.grid(True, axis='x', linestyle='--', alpha=0.5)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7fe8ac4c-3d93-422a-83d0-ff8d77560bb6",
   "metadata": {},
   "source": [
    "#### 问题3.3：绘制分组柱状图  \n",
    "**任务**：使用分组柱状图对比男性和女性对不同水果的偏好指数。  \n",
    "**要求**：  \n",
    "1. 定义男性偏好数据 `men_means = [20, 35, 30, 35]` 和女性偏好数据 `women_means = [25, 32, 34, 20]`  \n",
    "2. 计算x轴位置坐标，设置柱状图宽度为0.35，通过偏移实现分组显示  \n",
    "3. 使用`plt.bar()`分别绘制男性（蓝色）和女性（粉色）的柱状图，添加标签  \n",
    "4. 设置x轴刻度为水果种类标签，添加标题、坐标轴标签和图例  \n",
    "5. 添加纵向网格线，调整图形大小为10×5英寸  \n",
    "6. 显示图形  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 345,
   "id": "6b6025a5-45e6-44fa-b5bc-badc31b2db6b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 绘制分组柱状图和堆叠柱状图\n",
    "men_means = [20, 35, 30, 35]\n",
    "women_means = [25, 32, 34, 20]\n",
    "x = np.arange(len(labels))\n",
    "width = 0.35\n",
    "\n",
    "# 分组柱状图\n",
    "plt.figure(figsize=(10, 5))\n",
    "plt.bar(x - width/2, men_means, width, label='男性', color='blue', alpha=0.7)\n",
    "plt.bar(x + width/2, women_means, width, label='女性', color='pink', alpha=0.7)\n",
    "plt.xticks(x, labels)\n",
    "plt.title('按性别分组的水果偏好', fontsize=14)\n",
    "plt.xlabel('水果种类', fontsize=12)\n",
    "plt.ylabel('偏好指数', fontsize=12)\n",
    "plt.legend(fontsize=12)\n",
    "plt.grid(True, axis='y', linestyle='--', alpha=0.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5c821a19-f6b6-4e38-bd2d-df747a6a1cf5",
   "metadata": {},
   "source": [
    "#### 问题3.4：绘制堆叠柱状图  \n",
    "**任务**：使用堆叠柱状图展示男性和女性对水果的偏好指数总和。  \n",
    "**要求**：  \n",
    "1. 使用与问题3.3相同的偏好数据  \n",
    "2. 先绘制男性偏好的蓝色柱状图，再通过`bottom=men_means`参数堆叠女性偏好的粉色柱状图  \n",
    "3. 设置标题为\"堆叠柱状图: 按性别的水果偏好\"，添加坐标轴标签和图例  \n",
    "4. 添加纵向网格线，调整图形大小为10×5英寸  \n",
    "5. 显示图形  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 346,
   "id": "a05ece47-f5fa-4a8e-94b8-6679d1b7f9b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 堆叠柱状图\n",
    "plt.figure(figsize=(10, 5))\n",
    "plt.bar(labels, men_means, label='男性', color='blue', alpha=0.7)\n",
    "plt.bar(labels, women_means, bottom=men_means, label='女性', color='pink', alpha=0.7)\n",
    "plt.title('堆叠柱状图: 按性别的水果偏好', fontsize=14)\n",
    "plt.xlabel('水果种类', fontsize=12)\n",
    "plt.ylabel('偏好指数', fontsize=12)\n",
    "plt.legend(fontsize=12)\n",
    "plt.grid(True, axis='y', linestyle='--', alpha=0.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cbb989fa-acfe-4131-bde2-f38761b9a20b",
   "metadata": {},
   "source": [
    "### Matplotlib 4 直方图绘制练习  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1c862e3-73b3-4a2a-8872-c24456faf6c1",
   "metadata": {},
   "source": [
    "\n",
    "#### 问题4.1：绘制正态分布数据的直方图（默认分箱）  \n",
    "**任务**：使用 Matplotlib 绘制符合标准正态分布的随机数据直方图。  \n",
    "**要求**：  \n",
    "1. 生成1000个均值为0、标准差为1的正态分布随机数  \n",
    "2. 绘制直方图（`plt.hist()`），使用默认分箱数（`bins=30`）  \n",
    "3. 设置颜色为天蓝色（`color='skyblue'`），边框为黑色，透明度0.7  \n",
    "4. 设置标题为\"正态分布直方图 (默认bins)\"，添加坐标轴标签  \n",
    "5. 添加纵向网格线（虚线样式，透明度0.5）  \n",
    "6. 调整图形大小为8×5英寸，显示图形  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 347,
   "id": "0c69cb4d-fb6d-4ad4-a07b-be85ecbded47",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 绘制正态分布数据的直方图\n",
    "data = np.random.normal(0, 1, 1000)\n",
    "\n",
    "plt.figure(figsize=(8, 5))\n",
    "plt.hist(data, bins=30, color='skyblue', edgecolor='black', alpha=0.7)\n",
    "plt.title('正态分布直方图 (默认bins)', fontsize=14)\n",
    "plt.xlabel('值', fontsize=12)\n",
    "plt.ylabel('频数', fontsize=12)\n",
    "plt.grid(True, axis='y', linestyle='--', alpha=0.5)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a734be6c-c489-4e52-8efb-fe8837e278b2",
   "metadata": {},
   "source": [
    "#### 问题4.2：调整直方图的分箱数量  \n",
    "**任务**：对比不同分箱数对直方图展示效果的影响。  \n",
    "**要求**：  \n",
    "1. 使用与问题4.1相同的正态分布数据  \n",
    "2. 绘制直方图时设置分箱数为50（`bins=50`）  \n",
    "3. 设置颜色为鲑鱼色（`color='salmon'`），其他样式与问题4.1一致  \n",
    "4. 设置标题为\"正态分布直方图 (50 bins)\"，添加坐标轴标签和网格线  \n",
    "5. 观察并对比50分箱与默认30分箱的图形差异（如数据分布平滑度）  \n",
    "6. 调整图形大小为8×5英寸，显示图形  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 348,
   "id": "47615f60-6e97-41eb-9ae1-f1cb798a9b5e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 调整直方图的bin数量\n",
    "plt.figure(figsize=(8, 5))\n",
    "plt.hist(data, bins=50, color='salmon', edgecolor='black', alpha=0.7)\n",
    "plt.title('正态分布直方图 (50 bins)', fontsize=14)\n",
    "plt.xlabel('值', fontsize=12)\n",
    "plt.ylabel('频数', fontsize=12)\n",
    "plt.grid(True, axis='y', linestyle='--', alpha=0.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ffcb97ce-640b-4eb2-9d01-4847eb3568c5",
   "metadata": {},
   "source": [
    "#### 问题4.3：绘制累积分布直方图  \n",
    "**任务**：绘制正态分布数据的累积分布直方图（CDF）。  \n",
    "**要求**：  \n",
    "1. 使用与问题4.1相同的正态分布数据  \n",
    "2. 在`plt.hist()`中添加`cumulative=True`参数，实现累积分布计算  \n",
    "3. 设置颜色为浅绿色（`color='lightgreen'`），其他样式与问题4.1一致  \n",
    "4. 设置标题为\"累积分布直方图\"，y轴标签改为\"累积频数\"  \n",
    "5. 理解累积分布的含义：每个 bin 的值表示小于等于该 bin 上限的数据占比  \n",
    "6. 添加纵向网格线，调整图形大小为8×5英寸，显示图形  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 349,
   "id": "c2c8f0c7-5390-4d63-923c-9660f30cb5be",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 绘制累积分布直方图\n",
    "plt.figure(figsize=(8, 5))\n",
    "plt.hist(data, bins=30, color='lightgreen', edgecolor='black', \n",
    "         alpha=0.7, cumulative=True)\n",
    "plt.title('累积分布直方图', fontsize=14)\n",
    "plt.xlabel('值', fontsize=12)\n",
    "plt.ylabel('累积频数', fontsize=12)\n",
    "plt.grid(True, axis='y', linestyle='--', alpha=0.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c29fbf89-2f23-422f-a132-6734ef77d48f",
   "metadata": {},
   "source": [
    "### Matplotlib 5 饼图绘制练习  \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4cb373a7-81d5-4c42-80ae-6df54df6c738",
   "metadata": {},
   "source": [
    "#### 问题5.1：绘制基本饼图  \n",
    "**任务**：使用 Matplotlib 绘制展示水果销售比例的基本饼图。  \n",
    "**要求**：  \n",
    "1. 定义销售比例数据 `sizes = [15, 30, 45, 10]` 和水果标签 `labels = ['苹果', '香蕉', '橙子', '梨子']`  \n",
    "2. 绘制饼图（`plt.pie()`），设置颜色为红、黄、橙、绿  \n",
    "3. 添加百分比标签（`autopct='%1.1f%%'`），起始角度为90°（从顶部开始绘制）  \n",
    "4. 启用阴影效果（`shadow=True`）增强立体感  \n",
    "5. 设置标题为\"水果销售比例\"，调整图形大小为8×5英寸  \n",
    "6. 显示图形  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 350,
   "id": "ca62a9f5-8fc5-412e-99bb-bfc0799a2406",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 绘制基本饼图\n",
    "sizes = [15, 30, 45, 10]\n",
    "labels = ['苹果', '香蕉', '橙子', '梨子']\n",
    "colors = ['red', 'yellow', 'orange', 'green']\n",
    "\n",
    "plt.figure(figsize=(8, 5))\n",
    "plt.pie(sizes, labels=labels, colors=colors, autopct='%1.1f%%', \n",
    "        startangle=90, shadow=True)\n",
    "plt.title('水果销售比例', fontsize=14)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2e8c9ccf-1381-4c6d-940d-ac1bc0ea8258",
   "metadata": {},
   "source": [
    "\n",
    "#### 问题5.2：突出显示饼图特定部分  \n",
    "**任务**：通过分离效果突出显示饼图中的特定数据项（香蕉）。  \n",
    "**要求**：  \n",
    "1. 使用与问题5.1相同的数据和标签  \n",
    "2. 定义`explode = (0, 0.1, 0, 0)`，使香蕉部分向外分离0.1倍半径  \n",
    "3. 其他参数（颜色、百分比标签、起始角度、阴影）与问题5.1一致  \n",
    "4. 设置标题为\"突出显示香蕉的销售比例\"  \n",
    "5. 观察突出显示效果对数据可视化的增强作用  \n",
    "6. 调整图形大小为8×5英寸，显示图形  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 351,
   "id": "fbc14e1e-ac11-4e86-860d-1dad74e55830",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 突出显示饼图的某一部分\n",
    "explode = (0, 0.1, 0, 0)  # 突出显示香蕉部分\n",
    "\n",
    "plt.figure(figsize=(8, 5))\n",
    "plt.pie(sizes, labels=labels, colors=colors, autopct='%1.1f%%', \n",
    "        startangle=90, explode=explode, shadow=True)\n",
    "plt.title('突出显示香蕉的销售比例', fontsize=14)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61f74741-c61c-47cd-993a-5eed3e56641e",
   "metadata": {},
   "source": [
    "#### 问题5.3：自定义饼图百分比标签样式  \n",
    "**任务**：修改饼图中百分比标签的字体大小、粗细和颜色。  \n",
    "**要求**：  \n",
    "1. 使用与问题5.1相同的数据和标签  \n",
    "2. 通过`plt.pie()`获取饼图对象（`wedges, texts, autotexts`），其中`autotexts`为百分比标签  \n",
    "3. 使用`plt.setp()`设置百分比标签的样式：  \n",
    "   - 字体大小12，粗体（`weight='bold'`），白色（`color='white'`）  \n",
    "4. 设置标题为\"带自定义百分比标签的饼图\"  \n",
    "5. 对比默认标签与自定义标签的显示效果差异  \n",
    "6. 调整图形大小为8×5英寸，显示图形  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 352,
   "id": "29d0db55-cce6-4910-806e-d329f654f731",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 添加百分比标签到饼图中\n",
    "plt.figure(figsize=(8, 5))\n",
    "wedges, texts, autotexts = plt.pie(sizes, labels=labels, colors=colors, \n",
    "                                   autopct='%1.1f%%', startangle=90)\n",
    "plt.setp(autotexts, size=12, weight='bold', color='white')\n",
    "plt.title('带自定义百分比标签的饼图', fontsize=14)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "50d62ba2-5ea8-48a5-8c64-234e2cb53d62",
   "metadata": {},
   "source": [
    "### Matplotlib 6  2×2子图网格综合练习\n",
    "\n",
    "**任务**：\n",
    "使用Matplotlib创建一个包含四种不同类型图表的2×2子图网格，并进行全面的格式设置。\n",
    "\n",
    "**要求**：\n",
    "\n",
    "**整体设置要求**：\n",
    "1. 创建一个大小为12×10英寸的图形窗口\n",
    "2. 使用`plt.subplot(rows, cols, index)`方法依次创建四个子图\n",
    "3. 调整子图之间的间距（`plt.tight_layout(pad=2.0)`），避免内容重叠\n",
    "4. 设置全局标题（`plt.suptitle()`），位置略高于顶部子图\n",
    "\n",
    "**子图1 - 正弦曲线图**：\n",
    "1. 生成0到2π之间的100个均匀分布的点作为x值\n",
    "2. 绘制蓝色正弦曲线（`color='blue'`）\n",
    "3. 设置子图标题为\"正弦曲线\"\n",
    "4. 添加网格线（虚线样式，透明度0.5）\n",
    "\n",
    "**子图2 - 随机散点图**：\n",
    "1. 生成50个随机点的x和y坐标（范围0-1）\n",
    "2. 绘制红色散点图（`color='red'`），设置透明度为0.7\n",
    "3. 设置子图标题为\"随机散点图\"\n",
    "4. 添加网格线（虚线样式，透明度0.5）\n",
    "\n",
    "**子图3 - 柱状图**：\n",
    "1. 定义标签`['A', 'B', 'C']`和对应值`[10, 20, 15]`\n",
    "2. 绘制彩色柱状图（A:红色、B:绿色、C:蓝色），设置透明度0.7\n",
    "3. 设置子图标题为\"简单柱状图\"\n",
    "4. 添加纵向网格线（虚线样式，透明度0.5）\n",
    "\n",
    "**子图4 - 饼图**：\n",
    "1. 定义比例数据`[25, 35, 40]`和标签`['X', 'Y', 'Z']`\n",
    "2. 绘制彩色饼图（X:金色、Y:浅珊瑚色、Z:浅绿色）\n",
    "3. 添加百分比标签（保留一位小数）\n",
    "4. 设置子图标题为\"简单饼图\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 353,
   "id": "ad645d4c-5642-4369-be08-643a5586fb4b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 创建2x2的子图网格\n",
    "plt.figure(figsize=(12, 10))\n",
    "\n",
    "# 子图1: 线图\n",
    "plt.subplot(2, 2, 1)\n",
    "x = np.linspace(0, 2*np.pi, 100)\n",
    "plt.plot(x, np.sin(x), color='blue')\n",
    "plt.title('正弦曲线', fontsize=12)\n",
    "plt.grid(True, linestyle='--', alpha=0.5)\n",
    "\n",
    "# 子图2: 散点图\n",
    "plt.subplot(2, 2, 2)\n",
    "x = np.random.rand(50)\n",
    "y = np.random.rand(50)\n",
    "plt.scatter(x, y, color='red', alpha=0.7)\n",
    "plt.title('随机散点图', fontsize=12)\n",
    "plt.grid(True, linestyle='--', alpha=0.5)\n",
    "\n",
    "# 子图3: 柱状图\n",
    "plt.subplot(2, 2, 3)\n",
    "labels = ['A', 'B', 'C']\n",
    "values = [10, 20, 15]\n",
    "plt.bar(labels, values, color=['red', 'green', 'blue'], alpha=0.7)\n",
    "plt.title('简单柱状图', fontsize=12)\n",
    "plt.grid(True, axis='y', linestyle='--', alpha=0.5)\n",
    "\n",
    "# 子图4: 饼图\n",
    "plt.subplot(2, 2, 4)\n",
    "sizes = [25, 35, 40]\n",
    "labels = ['X', 'Y', 'Z']\n",
    "plt.pie(sizes, labels=labels, autopct='%1.1f%%', colors=['gold', 'lightcoral', 'lightgreen'])\n",
    "plt.title('简单饼图', fontsize=12)\n",
    "\n",
    "# 调整子图之间的间距\n",
    "plt.tight_layout(pad=2.0)\n",
    "plt.suptitle('2x2子图网格示例', fontsize=16, y=1.02)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "41b87cb0-c264-4a4d-9054-a852ca49a2e9",
   "metadata": {},
   "source": [
    "### Matplotlib 7 3D绘图练习  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a470cb6-c43b-4846-9d27-ef9b7a8b53f4",
   "metadata": {},
   "source": [
    "#### 问题7.1：绘制3D线图  \n",
    "**任务**：使用 Matplotlib 绘制三维螺旋线。  \n",
    "**要求**：  \n",
    "1. 导入 `mpl_toolkits.mplot3d` 模块以支持3D绘图  \n",
    "2. 创建一个10×8英寸的图形窗口，添加3D坐标轴  \n",
    "3. 生成螺旋线数据：  \n",
    "   - θ 范围从-4π到4π，共100个点  \n",
    "   - z 范围从-2到2，共100个点  \n",
    "   - r = z² + 1  \n",
    "   - x = r·sin(θ)，y = r·cos(θ)  \n",
    "4. 使用 `ax.plot()` 绘制3D线图，线宽为2，标签为\"3D螺旋线\"  \n",
    "5. 设置标题和坐标轴标签，添加图例  \n",
    "6. 显示图形  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "211b320d-927f-4e80-a707-8bf6034a4fb9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "\n",
    "# 绘制3D线图\n",
    "fig = plt.figure(figsize=(10, 8))\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "\n",
    "theta = np.linspace(-4 * np.pi, 4 * np.pi, 100)\n",
    "z = np.linspace(-2, 2, 100)\n",
    "r = z**2 + 1\n",
    "x = r * np.sin(theta)\n",
    "y = r * np.cos(theta)\n",
    "\n",
    "ax.plot(x, y, z, label='3D螺旋线', linewidth=2)\n",
    "ax.set_title('3D线图示例', fontsize=14)\n",
    "ax.set_xlabel('X轴', fontsize=12)\n",
    "ax.set_ylabel('Y轴', fontsize=12)\n",
    "ax.set_zlabel('Z轴', fontsize=12)\n",
    "ax.legend(fontsize=12)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b682588-ead0-487c-bde6-2ea6f926dcfb",
   "metadata": {},
   "source": [
    "#### 问题7.2：绘制3D散点图  \n",
    "**任务**：使用随机数据创建三维散点图。  \n",
    "**要求**：  \n",
    "1. 设置随机数种子为42，确保结果可重现  \n",
    "2. 生成100个随机点的三维坐标 (x, y, z)  \n",
    "3. 为每个点分配随机颜色和大小  \n",
    "4. 使用 `ax.scatter()` 绘制散点图，设置透明度为0.7，使用\"viridis\"颜色映射  \n",
    "5. 设置标题和坐标轴标签，添加颜色条说明颜色含义  \n",
    "6. 显示图形  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 355,
   "id": "0b0360ac-857b-4426-90d4-e53acace6da2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 绘制3D散点图\n",
    "fig = plt.figure(figsize=(10, 8))\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "\n",
    "np.random.seed(42)\n",
    "n = 100\n",
    "x = np.random.rand(n)\n",
    "y = np.random.rand(n)\n",
    "z = np.random.rand(n)\n",
    "colors = np.random.rand(n)\n",
    "sizes = 100 * np.random.rand(n)\n",
    "\n",
    "scatter = ax.scatter(x, y, z, c=colors, s=sizes, alpha=0.7, cmap='viridis')\n",
    "ax.set_title('3D散点图示例', fontsize=14)\n",
    "ax.set_xlabel('X轴', fontsize=12)\n",
    "ax.set_ylabel('Y轴', fontsize=12)\n",
    "ax.set_zlabel('Z轴', fontsize=12)\n",
    "fig.colorbar(scatter, label='颜色值')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "073fdf62-ee04-42cb-b379-1b3ecfa1c537",
   "metadata": {},
   "source": [
    "#### 问题7.3：绘制3D曲面图  \n",
    "**任务**：绘制一个基于数学函数的三维曲面。  \n",
    "**要求**：  \n",
    "1. 创建网格数据：  \n",
    "   - X 和 Y 范围均为-5到5，步长0.25  \n",
    "   - 使用 `np.meshgrid()` 生成二维网格  \n",
    "   - 计算 R = √(X² + Y²)  \n",
    "   - Z = sin(R)  \n",
    "2. 使用 `ax.plot_surface()` 绘制曲面图，使用\"coolwarm\"颜色映射  \n",
    "3. 设置线宽为0，启用抗锯齿以获得平滑表面  \n",
    "4. 设置标题和坐标轴标签，添加颜色条（收缩比例0.5，宽高比5）  \n",
    "5. 显示图形  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "98d5c3b6-5ab5-4e54-aef4-d784b5b16cc8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制3D曲面图\n",
    "fig = plt.figure(figsize=(10, 8))\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "\n",
    "X = np.arange(-5, 5, 0.25)\n",
    "Y = np.arange(-5, 5, 0.25)\n",
    "X, Y = np.meshgrid(X, Y)\n",
    "R = np.sqrt(X**2 + Y**2)\n",
    "Z = np.sin(R)\n",
    "\n",
    "surf = ax.plot_surface(X, Y, Z, cmap='coolwarm', linewidth=0, antialiased=True)\n",
    "ax.set_title('3D曲面图示例', fontsize=14)\n",
    "ax.set_xlabel('X轴', fontsize=12)\n",
    "ax.set_ylabel('Y轴', fontsize=12)\n",
    "ax.set_zlabel('Z轴', fontsize=12)\n",
    "fig.colorbar(surf, shrink=0.5, aspect=5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59fff013-7b0f-43dc-bf3d-fd2090afb5f6",
   "metadata": {},
   "source": [
    "### Matplotlib 8 图像处理练习  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b083bf4-ae12-4f08-8fe5-b3862f114e15",
   "metadata": {},
   "source": [
    "#### **任务**：  \n",
    "使用Matplotlib和Scikit-image完成图像加载、灰度转换、旋转和裁剪操作，并通过子图展示处理结果。  \n",
    "\n",
    "#### **要求**：  \n",
    "\n",
    "**1. 加载并显示原始图片**  \n",
    "- 使用 `matplotlib.image.imread()` 加载本地示例图片  \n",
    "- 创建8×6英寸的图形窗口，使用 `plt.imshow()` 显示图片  \n",
    "- 设置标题为 **\"原始图片\"**，关闭坐标轴显示（`plt.axis('off')`）  \n",
    "- 处理可能的异常（如文件路径无效、图片格式不支持）  \n",
    "\n",
    "**2. 转换为灰度图并显示**  \n",
    "- 使用 `skimage.color.rgb2gray()` 将彩色图片转换为灰度图  \n",
    "- 检查图片维度（仅处理形状为 `(H, W, 3)` 的彩色图片）  \n",
    "- 使用 `cmap='gray'` 正确显示灰度图  \n",
    "- 设置标题为 **\"灰度图片\"**，关闭坐标轴显示  \n",
    "\n",
    "**3. 图片变换与裁剪**  \n",
    "- 使用 `skimage.transform.rotate()` 将图片旋转45度  \n",
    "- 通过数组切片（如 `img[50:200, 100:250]`）裁剪图片  \n",
    "- 使用 **1×2子图布局** 同时展示旋转和裁剪后的图片  \n",
    "  - **左子图**：旋转后的图片，标题为 **\"旋转45度的图片\"**  \n",
    "  - **右子图**：裁剪后的图片，标题为 **\"裁剪后的图片\"**  \n",
    "- 关闭所有子图的坐标轴显示  \n",
    "- 使用 `plt.tight_layout()` 优化子图间距，避免重叠  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a2a1b811-5f2c-4eaa-80ff-f3d9dd36b0ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install scikit-image\n",
    "from matplotlib.image import imread\n",
    "from skimage import color, transform  # 需要安装scikit-image包\n",
    "\n",
    "# 加载并显示一张图片\n",
    "try:\n",
    "    # 使用示例图片\n",
    "    img = imread('testpicture.jpg')\n",
    "    \n",
    "    plt.figure(figsize=(8, 6))\n",
    "    plt.imshow(img)\n",
    "    plt.title('原始图片', fontsize=14)\n",
    "    plt.axis('off')\n",
    "    plt.show()\n",
    "    \n",
    "    # 将图片转换为灰度并显示\n",
    "    if len(img.shape) == 3:  # 检查是否为彩色图片\n",
    "        gray_img = color.rgb2gray(img)\n",
    "        plt.figure(figsize=(8, 6))\n",
    "        plt.imshow(gray_img, cmap='gray')\n",
    "        plt.title('灰度图片', fontsize=14)\n",
    "        plt.axis('off')\n",
    "        plt.show()\n",
    "    \n",
    "    # 对图片进行简单的处理（旋转、裁剪）后显示\n",
    "    rotated_img = transform.rotate(img, 45)\n",
    "    cropped_img = img[50:200, 100:250]\n",
    "    \n",
    "    plt.figure(figsize=(12, 5))\n",
    "    \n",
    "    plt.subplot(1, 2, 1)\n",
    "    plt.imshow(rotated_img)\n",
    "    plt.title('旋转45度的图片', fontsize=12)\n",
    "    plt.axis('off')\n",
    "    \n",
    "    plt.subplot(1, 2, 2)\n",
    "    plt.imshow(cropped_img)\n",
    "    plt.title('裁剪后的图片', fontsize=12)\n",
    "    plt.axis('off')\n",
    "    \n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "\n",
    "except Exception as e:\n",
    "    print(f\"图片加载失败: {e}\")\n",
    "    print(\"请确保有网络连接或使用本地图片路径替代\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1cae8394-e20b-46d4-b3ba-6b8e9c2836d4",
   "metadata": {},
   "source": [
    "### Matplotlib 9 高级自定义绘图练习  \n",
    "\n",
    "**任务**：\n",
    "1. 创建并绘制正弦和余弦曲线\n",
    "2. 全面定制图表标题和坐标轴\n",
    "3. 配置专业图例和网格系统\n",
    "4. 添加关键点注释和辅助参考线\n",
    "\n",
    "**要求**：\n",
    "\n",
    "**1. 曲线绘制基础**\n",
    "- 生成0到10之间的100个等距x值\n",
    "- 计算对应的正弦和余弦函数值\n",
    "- 创建10×6英寸图形窗口，设置DPI≥100\n",
    "- 绘制样式配置：\n",
    "  - 正弦曲线：蓝色实线，线宽2\n",
    "  - 余弦曲线：红色虚线，线宽2\n",
    "- 为每条曲线添加对应函数名的标签\n",
    "\n",
    "**2. 图表元素专业定制**\n",
    "- 主标题设置：\n",
    "  - 内容：\"三角函数可视化分析\"\n",
    "  - 字体大小16，加粗显示\n",
    "  - 与顶部子图间距20像素\n",
    "- 坐标轴配置：\n",
    "  - x轴标签\"相位(rad)\"，y轴标签\"幅值\"\n",
    "  - 标签字体14，距轴10像素\n",
    "  - 坐标范围：x∈[0,10]，y∈[-1.5,1.5]\n",
    "  - 刻度设置：\n",
    "    - x轴：0-10，步长2，字体10\n",
    "    - y轴：-1.5-1.5，步长0.5，字体10\n",
    "\n",
    "**3. 辅助元素增强**\n",
    "- 图例配置：\n",
    "  - 位置：右上角\n",
    "  - 边框：透明背景(framealpha=0.8)\n",
    "  - 效果：阴影+圆角边框\n",
    "- 网格系统：\n",
    "  - 样式：浅灰色虚线\n",
    "  - 透明度：0.7\n",
    "  - 主要网格线：xy轴均显示\n",
    "\n",
    "**4. 关键特征标注**\n",
    "- 极值点标注：\n",
    "  - (π/2,1)处：\"峰值点\"，红色箭头\n",
    "  - (3π/2,-1)处：\"谷值点\"，蓝色箭头\n",
    "  - 注释文字大小12\n",
    "- 参考线：\n",
    "  - y=0：黑色实线（宽度1）\n",
    "  - x=π：绿色虚线（宽度1.5）\n",
    "  - x=2π：紫色点划线（宽度1.2）\n",
    "- 箭头样式：\n",
    "  - 箭头收缩比例0.05\n",
    "  - 箭头宽度2\n",
    "  - 头部宽度5，长度8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 358,
   "id": "e578af7c-0b1d-4e35-b6e3-092417a1c539",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 创建示例数据\n",
    "x = np.linspace(0, 10, 100)\n",
    "y1 = np.sin(x)\n",
    "y2 = np.cos(x)\n",
    "\n",
    "# 创建图表并自定义各种元素\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "# 绘制两条曲线\n",
    "line1, = plt.plot(x, y1, label='正弦曲线', color='blue', linewidth=2, linestyle='-')\n",
    "line2, = plt.plot(x, y2, label='余弦曲线', color='red', linewidth=2, linestyle='--')\n",
    "\n",
    "# 添加标题、轴标签和图例\n",
    "plt.title('自定义图表示例', fontsize=16, pad=20)\n",
    "plt.xlabel('X轴', fontsize=14, labelpad=10)\n",
    "plt.ylabel('Y轴', fontsize=14, labelpad=10)\n",
    "plt.legend(handles=[line1, line2], loc='upper right', fontsize=12, \n",
    "           framealpha=1, shadow=True)\n",
    "\n",
    "# 设置坐标轴范围和刻度\n",
    "plt.xlim(0, 10)\n",
    "plt.ylim(-1.5, 1.5)\n",
    "plt.xticks(np.arange(0, 11, 2), fontsize=10)\n",
    "plt.yticks(np.arange(-1.5, 2, 0.5), fontsize=10)\n",
    "\n",
    "# 添加网格线\n",
    "plt.grid(True, linestyle='--', alpha=0.7)\n",
    "\n",
    "# 添加注释文本\n",
    "plt.annotate('最大值点', xy=(np.pi/2, 1), xytext=(np.pi/2+1, 1.2),\n",
    "             arrowprops=dict(facecolor='black', shrink=0.05),\n",
    "             fontsize=12)\n",
    "plt.annotate('最小值点', xy=(3*np.pi/2, -1), xytext=(3*np.pi/2+1, -1.3),\n",
    "             arrowprops=dict(facecolor='black', shrink=0.05),\n",
    "             fontsize=12)\n",
    "\n",
    "# 添加水平线和垂直线\n",
    "plt.axhline(y=0, color='black', linewidth=1, linestyle='-')\n",
    "plt.axvline(x=np.pi, color='green', linewidth=1, linestyle=':')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ce4b7ab-251b-4651-bbf5-0edfa8a3895b",
   "metadata": {},
   "source": [
    "### Matplotlib 10 统计图表\n",
    "#### 问题10.1：绘制误差条形图  \n",
    "**任务**：使用柱状图展示数据平均值，并添加误差条表示标准差。  \n",
    "**要求**：  \n",
    "1. 定义4个类别的平均值 `means = [20, 35, 30, 27]` 和标准差 `std_devs = [2, 3, 4, 1]`  \n",
    "2. 绘制彩色柱状图，设置误差条（`yerr=std_devs`）和误差条帽长度（`capsize=10`）  \n",
    "3. 添加标题\"带误差条的柱状图\"和坐标轴标签，启用纵向网格线  \n",
    "4. 观察误差条如何直观展示数据波动范围  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 359,
   "id": "cd0ac392-fda1-4640-9d4a-c726cb616034",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 绘制误差条形图\n",
    "labels = ['A', 'B', 'C', 'D']\n",
    "means = [20, 35, 30, 27]\n",
    "std_devs = [2, 3, 4, 1]\n",
    "\n",
    "plt.figure(figsize=(8, 5))\n",
    "plt.bar(labels, means, yerr=std_devs, capsize=10, \n",
    "        color=['red', 'blue', 'green', 'purple'], alpha=0.7)\n",
    "plt.title('带误差条的柱状图', fontsize=14)\n",
    "plt.xlabel('类别', fontsize=12)\n",
    "plt.ylabel('平均值±标准差', fontsize=12)\n",
    "plt.grid(True, axis='y', linestyle='--', alpha=0.5)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f220263-cc0e-4ac6-9939-1bef16f3b079",
   "metadata": {},
   "source": [
    "\n",
    "#### 问题10.2：创建箱线图  \n",
    "**任务**：使用箱线图展示4组不同标准差的正态分布数据。  \n",
    "**要求**：  \n",
    "1. 生成4组数据（标准差分别为1-4的正态分布，每组100个点）  \n",
    "2. 绘制带填充色的箱线图：  \n",
    "   - 箱体填充浅蓝色，边框蓝色  \n",
    "   - 中位数用红色线条标记  \n",
    "   - 须线和箱帽用黑色绘制  \n",
    "3. 添加标题\"箱线图示例\"和坐标轴标签，自定义x轴刻度为\"组1\"到\"组4\"  \n",
    "4. 理解箱线图各部分含义：中位数、四分位数、异常值范围  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 360,
   "id": "7adb03eb-0485-4956-91a4-ca6611ad55f9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 创建箱线图\n",
    "data = [np.random.normal(0, std, 100) for std in range(1, 5)]\n",
    "\n",
    "plt.figure(figsize=(8, 5))\n",
    "plt.boxplot(data, patch_artist=True,\n",
    "            boxprops=dict(facecolor='lightblue', color='blue'),\n",
    "            whiskerprops=dict(color='black'),\n",
    "            capprops=dict(color='black'),\n",
    "            medianprops=dict(color='red'))\n",
    "plt.title('箱线图示例', fontsize=14)\n",
    "plt.xlabel('数据集', fontsize=12)\n",
    "plt.ylabel('值', fontsize=12)\n",
    "plt.xticks([1, 2, 3, 4], ['组1', '组2', '组3', '组4'])\n",
    "plt.grid(True, axis='y', linestyle='--', alpha=0.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b01fe77-092d-444b-ac2c-577b2a2822c6",
   "metadata": {},
   "source": [
    "#### 问题10.3：绘制热力图  \n",
    "**任务**：使用热力图可视化10个变量的相关性矩阵。  \n",
    "**要求**：  \n",
    "1. 生成10个变量的随机相关矩阵（`np.corrcoef(np.random.randn(10, 100))`）  \n",
    "2. 使用\"coolwarm\"颜色映射绘制热力图，红色表示正相关，蓝色表示负相关  \n",
    "3. 添加颜色条（收缩比例0.8），自定义x/y轴标签为\"Var1\"到\"Var10\"并旋转x轴标签45°  \n",
    "4. 观察热力图如何直观展示变量间相关性强弱和方向  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 361,
   "id": "88517803-8dd7-4de1-af2b-7507743d23f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 绘制热力图\n",
    "corr_matrix = np.corrcoef(np.random.randn(10, 100))\n",
    "\n",
    "plt.figure(figsize=(8, 6))\n",
    "heatmap = plt.imshow(corr_matrix, cmap='coolwarm', interpolation='nearest')\n",
    "plt.colorbar(heatmap, shrink=0.8)\n",
    "plt.title('相关性热力图', fontsize=14)\n",
    "plt.xticks(np.arange(10), [f'Var{i+1}' for i in range(10)], rotation=45)\n",
    "plt.yticks(np.arange(10), [f'Var{i+1}' for i in range(10)])\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd97b88b-9d7a-4d45-aeee-bcea6c1b4989",
   "metadata": {},
   "source": [
    "## 📝 实验总结"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a9e7e78-4349-4099-a06d-e4da7393c786",
   "metadata": {},
   "source": [
    "通过本次Numpy和Matplotlib的经典练习，我们掌握了：  \n",
    "- NumPy数组操作的创建、索引和运算方法\n",
    "- 基础图表（线图、柱状图、散点图）的绘制方法\n",
    "- 多子图布局和3D图形的创建技巧\n",
    "- 图表元素的高级定制（标题、标签、图基础\n",
    "\n",
    "**建议你在后续学习中尝试**\n",
    "- 使用NumPy处理真实数据集（如CSV文件）\n",
    "- 探索Matplotlib更高级的图表定制能力\n",
    "- 结合Pandas进行更复杂的数据分析\n",
    "\n",
    "继续努力，逐步掌握更强大的数据分析与建模能力！"
   ]
  }
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